Publikationer av Håkan Hjalmarsson
Refereegranskade
Artiklar
[1]
A. Ghosh et al., "DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models," Automatica, vol. 159, 2024.
[2]
Y. Wang et al., "Iterative learning robust optimization - with application to medium optimization of CHO cell cultivation in continuous monoclonal antibody production," Journal of Process Control, vol. 137, 2024.
[3]
J. Parsa, C. R. Rojas och H. Hjalmarsson, "Application-Oriented Input Design With Low Coherence Constraint," IEEE Control Systems Letters, vol. 7, s. 193-198, 2023.
[4]
J. Parsa, C. R. Rojas och H. Hjalmarsson, "Coherence-Based Input Design for Nonlinear Systems," IEEE Control Systems Letters, vol. 7, s. 2934-2939, 2023.
[5]
X. Bombois et al., "On the informativity of direct identification experiments in dynamical networks," Automatica, vol. 148, s. 110742, 2023.
[6]
K. Colin, M. Ferizbegovic och H. Hjalmarsson, "Regret Minimization for Linear Quadratic Adaptive Controllers Using Fisher Feedback Exploration," IEEE Control Systems Letters, vol. 6, s. 2870-2875, 2022.
[7]
D. Rodrigues et al., "An Integrated Approach for Modeling and Identification of Perfusion Bioreactors via Basis Flux Modes," Computers and Chemical Engineering, vol. 149, 2021.
[8]
L. Zhang et al., "Control of IgG glycosylation in CHO cell perfusion cultures by GReBA mathematical model supported by a novel targeted feed, TAFE," Metabolic engineering, vol. 65, s. 135-145, 2021.
[9]
F. Morelli et al., "Least costly identification experiment for the identification of one module in a dynamic network," Automatica, vol. 133, 2021.
[10]
L. Zhang et al., "Probabilistic model by Bayesian network for the prediction of antibody glycosylation in perfusion and fed-batch cell cultures," Biotechnology and Bioengineering, vol. 118, no. 9, s. 3447-3459, 2021.
[11]
X. Bombois et al., "Robust optimal identification experiment design for multisine excitation," Automatica, vol. 125, 2021.
[12]
L. Zhang et al., "Glycan Residues Balance Analysis : A novel model for the N-linked glycosylation of IgG produced by CHO cells.," Metabolic engineering, vol. 57, s. 118-128, 2020.
[13]
M. Abdalmoaty och H. Hjalmarsson, "Identification of Stochastic Nonlinear Models Using Optimal Estimating Functions," Automatica, vol. 119, 2020.
[14]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Identification of linear models from quantized data : A midpoint-projection approach," IEEE Transactions on Automatic Control, vol. 65, no. 7, s. 2801-2813, 2020.
[15]
M. Wang et al., "Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes," Computers and Chemical Engineering, vol. 133, 2020.
[16]
M. Ferizbegovic et al., "Learning Robust LQ-Controllers Using Application Oriented Exploration," IEEE Control Systems Letters, vol. 4, no. 1, s. 19-24, 2020.
[17]
M. Abdalmoaty, H. Hjalmarsson och B. Wahlberg, "The Gaussian MLE versus the Optimally weighted LSE," IEEE signal processing magazine (Print), vol. 37, no. 6, s. 195-199, 2020.
[18]
R. S. Risuleo, F. Lindsten och H. Hjalmarsson, "Bayesian nonparametric identification of Wiener systems," Automatica, vol. 108, 2019.
[19]
M. Galrinho, C. R. Rojas och H. Hjalmarsson, "Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting," Automatica, vol. 102, s. 45-57, 2019.
[20]
M. Abdalmoaty och H. Hjalmarsson, "Linear Prediction Error Methods for Stochastic Nonlinear Models," Automatica, vol. 105, s. 49-63, 2019.
[21]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Modeling and identification of uncertain-input systems," Automatica, vol. 105, s. 130-141, 2019.
[22]
M. Galrinho, C. R. Rojas och H. Hjalmarsson, "Parametric Identification Using Weighted Null-Space Fitting," IEEE Transactions on Automatic Control, vol. 64, no. 7, s. 2798-2813, 2019.
[23]
D. Rodrigues och H. Hjalmarsson, "Stability and Performance Analysis of Control Based on Incomplete Models," IFAC-PapersOnLine, vol. 52, no. 1, s. 874-879, 2019.
[24]
H. H. M. Weerts et al., "A sequential least squares algorithm for ARMAX dynamic network identification," IFAC-PapersOnLine, vol. 51, no. 15, s. 844-849, 2018.
[25]
N. Everitt, G. Bottegal och H. Hjalmarsson, "An empirical Bayes approach to identification of modules in dynamic networks," Automatica, vol. 91, s. 144-151, 2018.
[26]
P. E. Valenzuela, C. R. Rojas och H. Hjalmarsson, "Analysis of averages over distributions of Markov processes," Automatica, vol. 98, s. 354-357, 2018.
[27]
M. . R. Abdalmoaty och H. Hjalmarsson, "Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem⁎," IFAC-PapersOnLine, vol. 51, no. 15, s. 784-789, 2018.
[28]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements⁎," IFAC-PapersOnLine, vol. 51, no. 15, s. 724-729, 2018.
[29]
M. . R. Abdalmoaty, C. R. Rojas och H. Hjalmarsson, "Identification of a Class of Nonlinear Dynamical Networks⁎," IFAC-PapersOnLine, vol. 51, no. 15, s. 868-873, 2018.
[30]
M. Ferizbegovic, M. Galrinho och H. Hjalmarsson, "Nonlinear FIR Identification with Model Order Reduction Steiglitz-McBride⁎," IFAC-PapersOnLine, vol. 51, no. 15, s. 646-651, 2018.
[31]
N. Everitt, M. Galrinho och H. Hjalmarsson, "Open-loop asymptotically efficient model reduction with the Steiglitz–McBride method," Automatica, vol. 89, s. 221-234, 2018.
[32]
X. Bombois et al., "Optimal identification experiment design for the interconnection of locally controlled systems," Automatica, vol. 89, s. 169-179, 2018.
[33]
R. S. Risuleo och H. Hjalmarsson, "Outlier-robust estimation of uncertain-input systems with applications to nonparametric FIR and hammerstein models," IEEE Control Systems Letters, vol. 2, no. 4, s. 647-652, 2018.
[34]
M. Galrinho et al., "Weighted Null-Space Fitting for Identification of Cascade Networks⁎," IFAC-PapersOnLine, vol. 51, no. 15, s. 856-861, 2018.
[35]
G. Bottegal, H. Hjalmarsson och G. Pillonetto, "A new kernel-based approach to system identification with quantized output data," Automatica, vol. 85, s. 145-152, 2017.
[36]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "A nonparametric kernel-based approach to Hammerstein system identification," Automatica, vol. 85, s. 234-247, 2017.
[37]
M. Galrinho, N. Everitt och H. Hjalmarsson, "ARX modeling of unstable linear systems," Automatica, vol. 75, s. 167-171, 2017.
[38]
L. Gerencser, H. Hjalmarsson och L. Huang, "Adaptive Input Design for LTI Systems," IEEE Transactions on Automatic Control, vol. 62, no. 5, s. 2390-2405, 2017.
[39]
M. Annergren et al., "Application-Oriented Input Design in System Identification Optimal input design for control," IEEE CONTROL SYSTEMS MAGAZINE, vol. 37, no. 2, s. 31-56, 2017.
[40]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Approximate inference of nonparametric Hammerstein models," IFAC-PapersOnLine, vol. 50, no. 1, s. 8333-8338, 2017.
[41]
D. Eckhard et al., "Cost function shaping of the output error criterion," Automatica, vol. 76, s. 53-60, 2017.
[42]
J. Mårtensson, N. Everitt och H. Hjalmarsson, "Covariance analysis in SISO linear systems identification," Automatica, vol. 77, s. 82-92, 2017.
[43]
J. G. Stoddard, J. S. Welsh och H. Hjalmarsson, "EM-based hyperparameter optimization for regularized volterra kernel estimation," IEEE Control Systems Letters, vol. 1, no. 2, s. 388-393, 2017.
[44]
M. Galrinho, N. Everitt och H. Hjalmarsson, "Incorporating noise modeling in dynamic networks using non-parametric models," IFAC-PapersOnLine, vol. 50, no. 1, s. 10568-10573, 2017.
[45]
M. Fang, Y. Zhu och H. Hjalmarsson, "On anti-aliasing filtering and over-sampling scheme in system identification," Computers and Chemical Engineering, vol. 106, s. 572-581, 2017.
[46]
G. Bottegal et al., "On maximum likelihood identification of errors-in-variables models," IFAC-PapersOnLine, vol. 50, no. 1, s. 2824-2829, 2017.
[47]
N. Everitt et al., "Variance analysis of linear SIMO models with spatially correlated noise," Automatica, vol. 77, s. 68-81, 2017.
[48]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Variational Bayes identification of acyclic dynamic networks," IFAC-PapersOnLine, vol. 50, no. 1, s. 10556-10561, 2017.
[49]
L. Özkan et al., "Advanced autonomous model-based operation of industrial process systems (Autoprofit) : Technological developments and future perspectives," ANNUAL REVIEWS IN CONTROL, vol. 42, s. 126-142, 2016.
[50]
C. A. Larsson et al., "An application-oriented approach to dual control with excitation for closed-loop identification," European Journal of Control, vol. 29, s. 1-16, 2016.
[51]
C. A. Larsson, P. Hägg och H. Hjalmarsson, "Generation of signals with specified second-order properties for constrained systems," International journal of adaptive control and signal processing (Print), vol. 30, no. 3, s. 456-472, 2016.
[52]
Y. Zhu och H. Hjalmarsson, "The Box-Jenkins Steiglitz-McBride algorithm," Automatica, vol. 65, s. 170-182, 2016.
[53]
P. Hägg et al., "The Transient Impulse Response Modeling Method for Non-parametric System Identication," Automatica, vol. 68, s. 314-328, 2016.
[54]
L. Huang och H. Hjalmarsson, "A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems," IEEE Transactions on Automatic Control, vol. 60, no. 8, s. 2242-2247, 2015.
[55]
P. E. Valenzuela, C. R. Rojas och H. Hjalmarsson, "A graph theoretical approach to input design for identification of nonlinear dynamical models," Automatica, vol. 51, s. 233-242, 2015.
[56]
L. Huang, H. Hjalmarsson och H. Koeppl, "Almost sure stability and stabilization of discrete-time stochastic systems," Systems & control letters (Print), vol. 82, s. 26-32, 2015.
[57]
G. Bottegal, G. Pillonetto och H. Hjalmarsson, "Bayesian kernel-based system identification with quantized output data," IFAC-PapersOnLine, vol. 48, no. 28, s. 455-460, 2015.
[58]
C. A. Larsson et al., "Experimental evaluation of model predictive control with excitation (MPC-X) on an industrial depropanizer," Journal of Process Control, vol. 31, s. 1-16, 2015.
[59]
A. Mesbah et al., "Least costly closed-loop performance diagnosis and plant re-identification," International Journal of Control, vol. 88, no. 11, s. 2264-2276, 2015.
[60]
N. Everitt et al., "On the Effect of Noise Correlation in Parameter Identification of SIMO Systems," IFAC-PapersOnLine, vol. 48, no. 28, s. 326-331, 2015.
[61]
C. Briat et al., "The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control," IEEE/ACM Transactions on Networking, vol. 23, no. 3, s. 851-865, 2015.
[62]
T. Oomen et al., "Iterative Data-Driven H-infinity Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation," IEEE Transactions on Control Systems Technology, vol. 22, no. 6, s. 2247-2260, 2014.
[63]
C. R. Rojas, R. Toth och H. Hjalmarsson, "Sparse Estimation of Polynomial and Rational Dynamical Models," IEEE Transactions on Automatic Control, vol. 59, no. 11, s. 2962-2977, 2014.
[64]
P. Ramazi, H. Hjalmarsson och J. Mårtensson, "Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models," Automatica, vol. 50, no. 6, s. 1675-1683, 2014.
[65]
C. R. Rojas, D. Katselis och H. Hjalmarsson, "A Note on the SPICE Method," IEEE Transactions on Signal Processing, vol. 61, no. 18, s. 4545-4551, 2013.
[66]
D. Katselis et al., "Frequency smoothing gains in preamble-based channel estimation for multicarrier systems," Signal Processing, vol. 93, no. 9, s. 2777-2782, 2013.
[67]
D. Eckhard et al., "Input design as a tool to improve the convergence of PEM," Automatica, vol. 49, no. 11, s. 3282-3291, 2013.
[68]
D. Katselis et al., "Training sequence design for MIMO channels: an application-oriented approach," EURASIP Journal on Wireless Communications and Networking, vol. 2013, s. 245, 2013.
[69]
J. C. Agüero et al., "Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation," Automatica, vol. 48, no. 4, s. 632-637, 2012.
[70]
C. R. Rojas et al., "Analyzing iterations in identification with application to nonparametric H-infinity-norm estimation," Automatica, vol. 48, no. 11, s. 2776-2790, 2012.
[71]
H. Hjalmarsson och J. Mårtensson, "Finite model order accuracy in Hammerstein model estimation," Automatica, vol. 48, no. 10, s. 2640-2646, 2012.
[72]
B. Wahlberg, H. Hjalmarsson och P. Stoica, "On the Performance of Optimal Input Signals for Frequency Response Estimation," IEEE Transactions on Automatic Control, vol. 57, no. 5, s. 766-771, 2012.
[73]
L. Huang och H. Hjalmarsson, "Recursive estimators with Markovian jumps," Systems & control letters (Print), vol. 61, no. 10, s. 1009-1016, 2012.
[74]
H. Hjalmarsson och J. Mårtensson, "A Geometric Approach to Variance Analysis in System Identification," IEEE Transactions on Automatic Control, vol. 56, no. 5, s. 983-997, 2011.
[75]
J. K. Huusom et al., "A design algorithm using external perturbation to improve Iterative Feedback Tuning convergence," Automatica, vol. 47, no. 12, s. 2665-2670, 2011.
[76]
C. R. Rojas et al., "An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems," Automatica, vol. 47, no. 7, s. 1388-1398, 2011.
[77]
J. Mårtensson, C. R. Rojas och H. Hjalmarsson, "Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller," Automatica, vol. 47, no. 3, s. 578-583, 2011.
[78]
L. Ljung, H. Hjalmarsson och H. Ohlsson, "Four Encounters with System Identification," European Journal of Control, vol. 17, no. 5-6, s. 449-471, 2011.
[79]
J. Mårtensson och H. Hjalmarsson, "How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification," IEEE Transactions on Automatic Control, vol. 56, no. 1, s. 100-112, 2011.
[80]
H. Hjalmarsson et al., "On the accuracy in errors-in-variables identification compared to prediction-error identification," Automatica, vol. 47, no. 12, s. 2704-2712, 2011.
[81]
K. E. J. Olofsson et al., "Predictor-based multivariable closed-loop system identification of the EXTRAP T2R reversed field pinch external plasma response," Plasma Physics and Controlled Fusion, vol. 53, no. 8, s. 084003, 2011.
[82]
C. R. Rojas et al., "The cost of complexity in system identification: The Output Error case," Automatica, vol. 47, no. 9, s. 1938-1948, 2011.
[83]
X. Bombois, H. Hjalmarsson och G. Scorletti, "Identification for robust H-2 deconvolution filtering," Automatica, vol. 46, no. 3, s. 577-584, 2010.
[84]
B. Wahlberg, M. Barenthin Syberg och H. Hjalmarsson, "Non-parametric methods for L-2-gain estimation using iterative experiments," Automatica, vol. 46, no. 8, s. 1376-1381, 2010.
[85]
A. Tang et al., "Queue Dynamics With Window Flow Control," IEEE/ACM Transactions on Networking, vol. 18, no. 5, s. 1422-1435, 2010.
[86]
C. R. Rojas et al., "The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems," IEEE Transactions on Automatic Control, vol. 55, no. 10, s. 2298-2309, 2010.
[87]
K. Jacobsson et al., "An Improved Link Model for Window Flow Control and Its Application to FAST TCP," IEEE Transactions on Automatic Control, vol. 54, no. 3, s. 551-564, 2009.
[88]
L. Gerencser, H. Hjalmarsson och J. Mårtensson, "Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design," Automatica, vol. 45, no. 3, s. 623-633, 2009.
[89]
H. Hjalmarsson, "System Identification of Complex and Structured Systems," European Journal of Control, vol. 15, no. 3-4, s. 275-310, 2009.
[90]
J. Mårtensson och H. Hjalmarsson, "Variance error quantification for identified poles and zeros," Automatica, vol. 45, no. 11, s. 2512-2525, 2009.
[91]
B. Wahlberg, H. Hjalmarsson och J. Mårtensson, "Variance results for identification of cascade systems," Automatica, vol. 45, no. 6, s. 1443-1448, 2009.
[92]
H. Hjalmarsson och H. Jansson, "Closed loop experiment design for linear time invariant dynamical systems via LMIs," Automatica, vol. 44, no. 3, s. 623-636, 2008.
[93]
M. Barenthin och H. Hjalmarsson, "Identification and control: Joint input design and H-infinity state feedback with ellipsoidal parametric uncertainty via LMIs," Automatica, vol. 44, no. 2, s. 543-551, 2008.
[94]
M. Barenthin et al., "Identification for control of multivariable systems: Controller validation and experiment design via LMIs," Automatica, vol. 44, no. 12, s. 3070-3078, 2008.
[95]
J. Scarpati et al., "Prediction of Engine Noise using Parameterized Combustion Pressure Curves," SAE technical paper series, 2007.
[96]
K.-E. Årzén et al., "Conclusions of the ARTIST2 roadmap on control of computing systems," ACM SIGBED Review, vol. 3, no. 2, s. 11-20, 2006.
[97]
H. Hjalmarsson och B. Ninness, "Least-squares estimation of a class of frequency functions : A finite sample variance expression," Automatica, vol. 42, no. 4, s. 589-600, 2006.
[98]
B. Ninness och H. Hjalmarsson, "Analysis of the variability of joint input-output estimation methods," Automatica, vol. 41, no. 7, s. 1123-1132, 2005.
[99]
H. Hjalmarsson, "From experiment design to closed-loop control," Automatica, vol. 41, no. 3, s. 393-438, 2005.
[100]
H. Jansson och H. Hjalmarsson, "Input design via LMIs admitting frequency-wise model specifications in confidence regions," IEEE Transactions on Automatic Control, vol. 50, no. 10, s. 1534-1549, 2005.
[101]
B. Ninness och H. Hjalmarsson, "On the frequency domain accuracy of closed-loop estimates," Automatica, vol. 41, no. 7, s. 1109-1122, 2005.
[102]
H. Jansson och H. Hjalmarsson, "Gradient approximations in iterative feedback tuning for multivariable processes," International journal of adaptive control and signal processing (Print), vol. 18, no. 8, s. 665-681, 2004.
[103]
B. Ninness och H. Hjalmarsson, "The effect of regularization on variance error," IEEE Transactions on Automatic Control, vol. 49, no. 7, s. 1142-1147, 2004.
[104]
B. Ninness och H. Hjalmarsson, "Variance error quantifications that are exact for finite-model order," IEEE Transactions on Automatic Control, vol. 49, no. 8, s. 1275-1291, 2004.
[105]
W. K. Ho et al., "Relay auto-tuning of PID controllers using iterative feedback tuning," Automatica, vol. 39, no. 1, s. 149-157, 2003.
[106]
H. Hjalmarsson, "Iterative feedback tuning - an overview," International journal of adaptive control and signal processing (Print), vol. 16, no. 5, s. 373-395, 2002.
[107]
O. Markusson och H. Hjalmarsson, "Inversion of non-linear stochastic models for the purpose of parameter estimation," International Journal of Control, vol. 74, no. 18, s. 1783-1795, 2001.
[108]
B. Ninness och H. Hjalmarsson, "Model structure and numerical properties of normal equations," IEEE Transactions on Circuits And Systems Part I : Fundamental Theory and Applications, vol. 48, no. 4, s. 425-437, 2001.
[109]
H. Hjalmarsson, "Efficient tuning of linear multivariable controllers using iterative feedback tuning," International journal of adaptive control and signal processing (Print), vol. 13, no. 7, s. 553-572, 1999.
[110]
B. Ninness, H. Hjalmarsson och F. Gustafsson, "The fundamental role of general orthonormal bases in system identification," IEEE Transactions on Automatic Control, vol. 44, no. 7, s. 1384-1406, 1999.
[111]
B. Ninness, H. Hjalmarsson och F. Gustafsson, "Generalized Fourier and Toeplitz results for rational orthonormal bases," SIAM Journal on Control and Optimization, vol. 37, no. 2, s. 429-460, 1998.
[112]
H. Hjalmarsson et al., "Iterative feedback tuning : Theory and applications," IEEE Control Systems Magazine, vol. 18, no. 4, s. 26-41, 1998.
[113]
H. Hjalmarsson och T. Birkeland, "Iterative feedback tuning of linear time-invariant MIMO systems," Proceedings of the IEEE Conference on Decision and Control, vol. 4, s. 3893-3898, 1998.
[114]
H. Hjalmarsson, "Optimally robust system identification of systems subject to amplitude-bounded stochastic disturbances," IEEE Transactions on Automatic Control, vol. 43, no. 7, s. 947-953, 1998.
[115]
H. Hjalmarsson, M. Gevers och O. Lequin, "Iterative Feedback Tuning: theory and applications in chemical process control," Journal A, vol. 38, no. 1, s. 16-25, 1997.
[116]
T. R. Holcomb et al., "Significance regression : A statistical approach to partial least squares," Journal of Chemometrics, vol. 11, no. 4, s. 283-309, 1997.
[117]
H. Hjalmarsson, M. Gevers och F. De Bruyne, "For model-based control design, closed-loop identification gives better performance," Automatica, vol. 32, no. 12, s. 1659-1673, 1996.
[118]
H. Akcay, H. Hjalmarsson och L. Ljung, "On the choice of norms in system identification," IEEE Transactions on Automatic Control, vol. 41, no. 9, s. 1367-1372, 1996.
[119]
H. Hjalmarsson och F. Gustafsson, "Composite modeling of transfer functions," IEEE Transactions on Automatic Control, vol. 40, no. 5, s. 820-832, 1995.
[120]
H. Hjalmarsson, S. Gunnarsson och M. Gevers, "Model-free Tuning of a Robust Regulator for a Flexible Transmission System," European Journal of Control, vol. 1, no. 2, s. 148-156, 1995.
[121]
J. Sjöberg et al., "Nonlinear black-box modeling in system identification: A unified overview," Automatica, vol. 31, no. 12, s. 1691-1724, 1995.
[122]
A. Juditsky et al., "Nonlinear black-box models in system identification: Mathematical foundations," Automatica, vol. 31, no. 12, s. 1725-1750, 1995.
[123]
F. Gustafsson och H. Hjalmarsson, "Twenty-one ML estimators for model selection," Automatica, vol. 31, no. 10, s. 1377-1392, 1995.
[124]
H. Akçay och H. Hjalmarsson, "The least-squares identification of FIR systems subject to worst-case noise," System & Control Letters, vol. 23, s. 329-338, 1994.
[125]
H. Hjalmarsson och L. Ljung, "Estimating model variance in the case of undermodeling," IEEE Transactions on Automatic Control, vol. 37, no. 7, s. 1004-1008, 1992.
Konferensbidrag
[126]
M. Pasquini och H. Hjalmarsson, "E2-RTO: An Exploitation-Exploration Approach for Real Time Optimization," i IFAC-PapersOnLine, 22nd IFAC World Congress, 2023, s. 1423-1430.
[127]
Y. Wang et al., "Model-based Medium Optimization Methodologies in High-cell Density Perfusion Culture," i Cell Culture Engineering XVIII, Cancun, Mexico, April 23-28 2023, 2023.
[128]
K. Colin, H. Hjalmarsson och X. Bombois, "Optimal exploration strategies for finite horizon regret minimization in some adaptive control problems," i 22nd IFAC World Congress Yokohama, Japan, July 9-14, 2023, 2023, s. 2564-2569.
[129]
M. Pasquini et al., "A Lyapunov based heuristic to speed up convergence of a feedback optimization framework with experiment batches-application to bioprocess manufacturing," i IFAC PAPERSONLINE, 2022, s. 135-140.
[130]
K. Colin, H. Hjalmarsson och V. Chotteau, "Gaussian process modeling of macroscopic kinetics : a better-tailored kernel for Monod-type kinetics," i 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022 Vienna Austria, 27–29 July 2022, 2022, s. 397-402.
[131]
J. Parsa, C. R. Rojas och H. Hjalmarsson, "Optimal Input Design for Sparse System Identification," i 2022 EUROPEAN CONTROL CONFERENCE (ECC), 2022, s. 1999-2004.
[132]
Y. Wang et al., "Robust optimization with optimal experiment design - with application to continuous biopharmaceutical production," i IFAC PAPERSONLINE, 2022, s. 234-241.
[133]
R. Bereza-Jarocinski et al., "Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances," i 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, s. 6712-6717.
[134]
M. Ferizbegovic et al., "Bayes control of hammerstein systems," i 19th IFAC Symposium on System Identification, SYSID 2021, 2021, s. 755-760.
[135]
M. Abdalmoaty et al., "Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances," i Proceedings The 60th IEEE conference on Decision and Control (CDC), 2021.
[136]
X. Bombois och H. Hjalmarsson, "Network topology detection via uncertainty analysis of an identified static model," i IFAC PAPERSONLINE, 2021, s. 595-600.
[137]
R. A. González, C. R. Rojas och H. Hjalmarsson, "Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations," i Proceedings 2021 60th IEEE conference on decision and control (CDC), 2021, s. 114-119.
[138]
J. Parsa och H. Hjalmarsson, "Optimal Input Design Through Infinity Norm Minimization Using Proximal Mapping," i 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, s. 4442-4447.
[139]
M. Fang, M. Galrinho och H. Hjalmarsson, "Recursive Weighted Null-Space Fitting Method for Identification of Multivariate Systems," i IFAC PAPERSONLINE, 2021, s. 345-350.
[140]
M. Ferizbegovic et al., "Willems' fundamental lemma based on second-order moments," i 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, s. 396-401.
[141]
S. Fonken, M. Ferizbegovic och H. Hjalmarsson, "Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting," i 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, 2020.
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M. Wang et al., "Estimation of Heteroscedastic Multilinear Systems," i Proceedings of the IEEE Conference on Decision and Control, 2020, s. 2875-2880.
[143]
A. Venkitaraman, H. Hjalmarsson och B. Wahlberg, "Learning sparse linear dynamic networks in a hyper-parameter free setting," i IFAC PAPERSONLINE, 2020, s. 82-86.
[144]
R. S. Risuleo och H. Hjalmarsson, "Nonparametric Models for Hammerstein-Wiener and Wiener-Hammerstein System Identification," i IFAC-PapersOnLine, 2020, s. 400-405.
[145]
J. Parsa och H. Hjalmarsson, "On Reducing the Coherence in Sparse System Identification," i 2020 59th IEEE Conference on Decision and Control (CDC), 14-18 Dec. 2020, Jeju, South Korea, 2020.
[146]
D. Rodrigues, M. Abdalmoaty och H. Hjalmarsson, "Toward tractable global solutions to bayesian point estimation problems via sparse sum-of-squares relaxations," i Proceedings American Control Conference, ACC 2020, 2020, s. 1501-1506.
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M. Wang et al., "Unscented Bayes Methods for Hierarchical Gaussian Processes," i 2020 Australian and New Zealand control conference (ANZCC 2020), 2020, s. 137-142.
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M. Wang et al., "A multi-step least-squares method for nonlinear rational models," i Proceedings of the American Control Conference, 2019, s. 4509-4514.
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F. Morelli et al., "Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems," i 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, s. 363-368.
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J. Umenberger et al., "Robust exploration in linear quadratic reinforcement learning," i Advances in neural information processing systems 32 (NIPS 2019), 2019, s. 15310-15320.
[151]
D. Rodrigues, M. Abdalmoaty och H. Hjalmarsson, "Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations," i 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, s. 3184-3189.
[152]
M. Abdalmoaty och H. Hjalmarsson, "Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem," i 18th IFAC Symposium on System Identification, 2018.
[153]
M. Abdalmoaty och H. Hjalmarsson, "Consistent Estimators of Stochastic MIMO Wiener Models based on Suboptimal Predictors," i 57th IEEE Conference on Decision and Control, 17-19 Dec. 2018, Miami Beach, FL, USA, 2018.
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A. Korniienko et al., "Hierarchical Robust Analysis for Identified Systems in Network," i IFAC PAPERSONLINE, 2018, s. 383-389.
[155]
M. Abdalmoaty, C. R. Rojas och H. Hjalmarsson, "Identication of a Class of Nonlinear Dynamical Networks," i 18th IFAC Symposium on System Identification, 2018.
[156]
O. Trollberg et al., "On optimization of paper machines using economic model predictive control," i Paper Conference and Trade Show, PaperCon 2018, 2018, s. 286-293.
[157]
R. S. Risuleo, F. Lindsten och H. Hjalmarsson, "Semi-parametric kernel-based identification of Wiener systems," i 2018 IEEE Conference on Decision and Control (CDC), 2018, s. 3874-3879.
[158]
M. Ferizbegovic, M. Galrinho och H. Hjalmarsson, "Weighted Null-Space Fitting for Cascade Networks with Arbitrary Location of Sensors and Excitation Signals," i 57th IEEE Conference on Decision and Control, 2018, s. 4707-4712.
[159]
M. Fang, M. Galrinho och H. Hjalmarsson, "Recursive Identification Based on Weighted Null-Space Fitting," i 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017.
[160]
M. Abdalmoaty och H. Hjalmarsson, "Simulated Pseudo Maximum Likelihood Identification of Nonlinear Models," i The 20th IFAC World Congress, 2017, s. 14058-14063.
[161]
M. Abdalmoaty och H. Hjalmarsson, "A Simulated Maximum Likelihood Method for Estimation of Stochastic Wiener Systems," i 2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, s. 3060-3065.
[162]
M. Galrinho, C. R. Rojas och H. Hjalmarsson, "A Weighted Least Squares Method for Estimation of Unstable Systems," i 2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, s. 341-346.
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N. Everitt et al., "Identification of modules in dynamic networks : An empirical Bayes approach," i 2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, s. 4612-4617.
[164]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "Kernel-based system identification from noisy and incomplete intput-output data," i 2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, s. 2061-2066.
[165]
K. Li et al., "Piecewise sparse signal recovery via piecewise orthogonal matching pursuit," i 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, s. 4608-4612.
[166]
M. Galrinho, C. Rojas och H. Hjalmarsson, "A Least Squares Method for Identification of Feedback Cascade Systems," i 17th IFAC Symposium on System Identification SYSID 2015 — Beijing, China, 19–21 October 2015, 2015, s. 98-103.
[167]
R. S. Risuleo et al., "A benchmark for data-based office modeling: challenges related to CO2 dynamics," i IFAC-PapersOnLine, 2015, s. 1256-1261.
[168]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "A kernel-based approach to Hammerstein system identication," i IFAC-PapersOnLine, 2015, s. 1011-1016.
[169]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "A new kernel-based approach to overparameterized Hammerstein system identification," i 2015 54th IEEE Conference on Decision and Control (CDC), 2015, s. 115-120.
[170]
A. Ebadat et al., "Blind identification strategies for room occupancy estimation," i European Control Conference, July 15-17 2015, Linz, 2015.
[171]
G. Bottegal, R. S. Risuleo och H. Hjalmarsson, "Blind system identification using kernel-based methods," i 17th IFAC Symposium on System Identification SYSID 2015, 2015, s. 466-471.
[172]
M. Galrinho, C. Rojas och H. Hjalmarsson, "On Estimating Initial Conditions in Unstructured Models," i 2015 54th IEEE Conference on Decision and Control (CDC), 2015, s. 2725-2730.
[173]
M. Abdalmoaty och H. Hjalmarsson, "On Re-Weighting, Regularization Selection, and Transient in Nuclear Norm Based Identification," i 17th IFAC Symposium on System Identification, 2015, s. 92-97.
[174]
N. Everitt et al., "On the Variance Analysis of identified Linear MIMO Models," i IEEE Explore, 2015.
[175]
R. S. Risuleo, G. Bottegal och H. Hjalmarsson, "On the estimation of initial conditions in kernel-based system identification," i 2015 54th IEEE Conference on Decision and Control (CDC), 2015, s. 1120-1125.
[176]
G. Bottegal et al., "Outlier robust kernel-based system identification using l1-Laplace techniques," i 2015 54th IEEE Conference on Decision and Control, 2015, s. 2109-2114.
[177]
B. Ninness och H. Hjalmarsson, "Signal spectra and conditioning when using orthonormal parameterisation," i European Control Conference, ECC 1999 - Conference Proceedings, 2015, s. 4656-4661.
[178]
H. Hjalmarsson, "System identification of complex and structured systems," i 2009 European Control Conference, ECC 2009, 2015, s. 3424-3452.
[179]
P. E. Valenzuela Pacheco, C. R. Rojas och H. Hjalmarsson, "Uncertainty in system identification : learning from the theory of risk," i IFAC-PapersOnLine, 2015, s. 1053-1058.
[180]
M. Galrinho, C. R. Rojas och H. Hjalmarsson, "A weighted least-squares method for parameter estimation in structured models," i Proceedings of the IEEE Conference on Decision and Control, 2014, s. 3322-3327.
[181]
A. Ebadat et al., "Application Set Approximation in Optimal Input Design for Model Predictive Control," i 2014 European Control Conference (ECC), 2014, s. 744-749.
[182]
A. Ebadat et al., "Applications Oriented Input Design for Closed-Loop System Identification : a Graph-Theory Approach," i 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, s. 4125-4130.
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A. Ebadat et al., "Applications Oriented Input Design in Time-Domain Through Cyclic Methods," i 19th World Congress IFAC´14 World Congress; Cape Town, South Africa, 24-29 August 2014, 2014, s. 1422-1427.
[184]
K. Li et al., "Distributed Signal Recovery Via Piecewise Orthogonal Matching Pursuit and Finite-Time Consensus," i IEEE Explore, 2014.
[185]
M. Forgione et al., "Experiment design for parameter estimation in nonlinear systems based on multilevel excitation," i 2014 European Control Conference, ECC 2014, 2014, s. 25-30.
[186]
P. Hägg et al., "Input Signal Generation for Constrained Multiple-Input Multple-Output Systems," i Proceedings of 19th World Congress of the International Federation of Automatic Control 2014, 2014.
[187]
D. Katselis, C. R. Rojas och H. Hjalmarsson, "Least Squares End Performance Experiment Design in Multicarrier Systems : The Sparse Preamble Case," i 2014 European Control Conference (ECC), 2014, s. 13-18.
[188]
H. Hjalmarsson och C. R. Rojas, "Model Structure Selection - An Update," i 2014 European Control Conference (ECC), 2014, s. 2382-2385.
[189]
G. Bottegal och H. Hjalmarsson, "On the variance of identified SIMO systems with spatially correlated output noise," i Proceedings of the IEEE Conference on Decision and Control, 2014, s. 2636-2641.
[190]
M. G. Potters et al., "Optimal Experiment Design in Closed Loop with Unknown, Nonlinear and Implicit Controllers using Stealth Identification," i 2014 European Control Conference, ECC 2014, 2014, s. 726-731.
[191]
G. Bottegal et al., "Outlier robust system identification : A Bayesian kernel-based approach," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2014, s. 1073-1078.
[192]
K. Li et al., "Piecewise Toeplitz matrices-based sensing for rank minimization," i European Signal Processing Conference, 2014, s. 1836-1840.
[193]
N. Everitt, C. R. Rojas och H. Hjalmarsson, "Variance Results for Parallel Cascade Serial Systems," i Proceedings of 19th IFAC World Congress, 2014.
[194]
N. Everitt, C. R. Rojas och H. Hjalmarsson, "A Geometric Approach to Variance Analysis of Cascaded Systems," i Proceedings of the 52nd Conference On Decision And Control, 2013, s. 6496-6501.
[195]
C. R. Rojas, B. Wahlberg och H. Hjalmarsson, "A sparse estimation technique for general model structures," i 2013 European Control Conference, ECC 2013, 2013, s. 2410-2414.
[196]
D. Katselis, C. R. Rojas och H. Hjalmarsson, "Applications-oriented least squares experiment design in multicarrier communication systems," i Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2013), 2013, s. 74-79.
[197]
D. Katselis, C. Fischione och H. Hjalmarsson, "Efficient OOK/DS-CDMA Detection Threshold Selection," i 2013 American Control Conference (ACC), 2013, s. 3523-3528.
[198]
C. Larsson, P. Hägg och H. Hjalmarsson, "Generation of excitation signals with prescribed autocorrelation for input and output constrained systems," i 2013 American Control Conference (ACC), 2013, s. 3918-3923.
[199]
T. Oomen et al., "Iteratively learning the H∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system," i Proceedings of the American Control Conference 2013, 2013, s. 6703-6708.
[200]
C. A. Larsson et al., "Model predictive control with integrated experiment design for output error systems," i 2013 European Control Conference, ECC 2013, 2013, s. 3790-3795.
[201]
D. Katselis, C. Fischione och H. Hjalmarsson, "OOK/DS-CDMA bit error probability over Rayleigh fading channels," i Communications (ICC), 2013 IEEE International Conference on, 2013, s. 5619-5624.
[202]
P. E. Valenzuela Pacheco, C. R. Rojas och H. Hjalmarsson, "Optimal input design for non-linear dynamic systems : a graph theory approach," i 52nd IEEE Conference on Decision and Control, December 10-13, 2013 Florence, Italy, 2013, s. 5740-5745.
[203]
P. Hägg, C. Larsson och H. Hjalmarsson, "Robust and Adaptive Excitation Signal Generation for Input and Output Constrained Systems," i 2013 European Control Conference, ECC 2013, 2013, s. 1416-1421.
[204]
D. Katselis et al., "A Chernoff convexification for chance constrained MIMO training sequence design," i Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on, 2012, s. 40-44.
[205]
D. Katselis et al., "A Chernoff relaxation on the problem of application-oriented finite sample experiment design," i 2012 IEEE 51st Annual Conference on Decision and Control (CDC), 2012, s. 202-207.
[206]
H. Hjalmarsson och J. Sjöberg, "A mathematica toolbox for signals, models and identification," i 16th IFAC Symposium on System Identification, 2012, s. 1541-1546.
[207]
C. R. Rojas, J. Mårtensson och H. Hjalmarsson, "A tutorial on applications-oriented optimal experiment design," i Identification For Automotive Systems, 2012, s. 149-164.
[208]
A. Mesbah et al., "A unified experiment design framework for detection and identification in closed-loop performance diagnosis," i Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 2012, s. 2152-2157.
[209]
L. Huang, H. Hjalmarsson och L. Gerencser, "Adaptive experiment design for ARMAX systems?," i 2012 IEEE 51st Annual Conference on Decision and Control (CDC), 2012, s. 907-912.
[210]
D. Katselis et al., "Application-Oriented Finite Sample Experiment Design : A Semidefinite Relaxation Approach," i IFAC Proceedings Volumes (IFAC-PapersOnline) v16 nPART 1 : System Identification, 2012, s. 1635-1640.
[211]
N. N. Moghadam et al., "Correlation of distortion noise between the branches of MIMO transmit antennas," i Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on, 2012, s. 2079-2084.
[212]
H. Hjalmarsson, J. S. Welsh och C. R. Rojas, "Identification of box-jenkins models using structured ARX models and nuclear norm relaxation," i 16th IFAC Symposium on System Identification, 2012, s. 322-327.
[213]
D. Eckhard et al., "Mean-squared error experiment design for linear regression models," i 16th IFAC Symposium on System Identification, 2012, s. 1629-1634.
[214]
P. Hägg och H. Hjalmarsson, "Non-parametric frequency function estimation using transient impulse response modelling," i 16th IFAC Symposium on System Identification, 2012, s. 43-48.
[215]
D. Eckhard et al., "On the convergence of the Prediction Error Method to its global minimum," i 16th IFAC Symposium on System Identification, 2012, s. 698-703.
[216]
R. Tóth, H. Hjalmarsson och C. R. Rojas, "Order and structural dependence selection of LPV-ARX models revisited," i Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 2012, s. 6271-6276.
[217]
D. Katselis et al., "Robust Experiment Design for System Identification via Semi-Infinite Programming Techniques," i Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), 2012, s. 680-685.
[218]
R. Töth, H. Hjalmarsson och C. R. Rojas, "Sparse estimation or rational dynamical models," i 16th IFAC Symposium on System Identification, 2012, s. 983-988.
[219]
J. S. Welsh et al., "Sparse estimation techniques for basis function selection in wideband system identification," i 16th IFAC Symposium on System Identification, 2012, s. 977-982.
[220]
D. Alberer, H. Hjalmarsson och L. del Re, "System Identification for Automotive Systems : Opportunities and Challenges," i Identification for automotive systems, 2012, s. 1-+.
[221]
M. Gevers et al., "The transient impulse response modeling method and the local polynomial method for nonparametric system identification," i 16th IFAC Symposium on System Identification, 2012, s. 55-60.
[222]
V. Chotteau och H. Hjalmarsson, "Tuning of dissolved oxygen and pH PID control parameters in large scale bioreactor by lag control," i Proceedings of the 21st Annual Meeting of the European Society for Animal Cell Technology (ESACT), 2012, s. 327-330.
[223]
P. Hägg, H. Hjalmarsson och B. Wahlberg, "A Least Squares Approach to Direct Frequency Response Estimation," i 2011 50th IEEE Conference On Decision And Control And European Control Conference (CDC-ECC), 2011, s. 2160-2165.
[224]
C. Briat et al., "An axiomatic fluid-flow model for congestion control analysis," i 2011 50th IEEE Conference on Decision and Control andEuropean Control Conference (CDC-ECC), 2011, s. 3122-3129.
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T. Oomen et al., "Analyzing Iterations in Identification with Application to Nonparametric H∞-Norm Estimation," i Proceedings of the 18th World Congress, The International Federation of Automatic Control, Milano (Italy) August 28 - September 2, 2011, 2011, s. 9972-9977.
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K. E. J. Olofsson et al., "Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation," i Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC11), 2011, s. 2614-2619.
[227]
C. R. Rojas et al., "Chance Constrained Input Design," i Proceedings of the IEEE Conference on Decision and Control, 2011, s. 2957-2962.
[228]
H. Hjalmarsson och F. Egebrand, "Input design using cylindrical algebraic decomposition," i Proceedings 50th IEEE Conference on Decision and Control, 2011, s. 811-817.
[229]
C. A. Larsson, C. R. Rojas och H. Hjalmarsson, "MPC Oriented Experiment Design," i Proceedings of the 18th IFAC World Congress, 2011, s. 9966-9971.
[230]
C. A. Larsson, M. J.E. Annergren och H. Hjalmarsson, "On Optimal Input Design for Model Predictive Control," i Proceedings of the 49th IEEE Conference on Decision and Control, 2011, s. 805-810.
[231]
D. Katselis et al., "On Preamble-Based Channel Estimation in OFDM/OQAM Systems," i Proceedings of the 19th European Signal Processing Conference (EUSIPCO 2011), 2011, s. 1618-1622.
[232]
L. Huang, H. Hjalmarsson och C. R. Rojas, "On consistent estimation of farthest NMP zeros of stable LTI systems," i Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC11), 2011, s. 5094-5099.
[233]
B. Wahlberg, H. Hjalmarsson och P. Stoica, "On estimation of the gain of a dynamical system," i 2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011, 2011, s. 364-369.
[234]
X. Bombois et al., "Optimal experiment design for hypothesis testing applied to functional magnetic resonance imaging," i Proceedings of the 18th IFAC World Congress, 2011, s. 9953-9958.
[235]
C. R. Rojas och H. Hjalmarsson, "Sparse estimation based on a validation criterion," i 2011 50th Conference On Decision And Control And European Control Conference, 2011, s. 2825-2830.
[236]
K. E. J. Olofsson et al., "Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion," i Proceedings of the 49th Conference on Decision and Control (CDC’10), 2010, s. 2954-2959.
[237]
C. A. Larsson, H. Hjalmarsson och C. R. Rojas, "Identification of nonlinear systems using misspecified predictors," i 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, s. 7214-7219.
[238]
C. Briat et al., "Nonlinear state-dependent delay modeling and stability analysis of internet congestion control," i 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, s. 1484-1491.
[239]
C. A. Larsson, H. Hjalmarsson och C. R. Rojas, "On optimal input design for nonlinear FIR-type systems," i 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, s. 7220-7225.
[240]
B. Wahlberg, H. Hjalmarsson och M. Annergren, "On optimal input design in system identification for control," i 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, s. 5548-5553.
[241]
B. Wahlberg, H. Hjalmarsson och P. Stoica, "On optimal input signal design for frequency response estimation," i 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, s. 302-307.
[242]
J. E. Sjöberg och H. Hjalmarsson, "A System, Signals and Identification Toolbox in {M}athematica with Symbolic Capabilities," i 15th IFAC Symposium on System Identification, SYSID 2009, 2009, s. 747-751.
[243]
C. R. Rojas et al., "Consistent estimation of real NMP zeros in stable LTI systems of arbitrary complexity," i 15th IFAC Symposium on System Identification, SYSID 2009, 2009, s. 922-927.
[244]
M. Barenthin et al., "Data-driven methods for L2-gain estimation," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2009, s. 1597-1602.
[245]
J. Mårtensson, C. R. Rojas och H. Hjalmarsson, "Finite Model Order Optimal Input Design for Minimum Variance Control," i European Control Conference, 2009, s. 454-459.
[246]
D. Pacifico et al., "Improving TCP Performance During the Intra LTE Handover," i GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-8, 2009, s. 5343-5350.
[247]
C. R. Rojas och H. Hjalmarsson, "Input design for asymptotic robust H2-filtering," i 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009, 2009, s. 476-481.
[248]
C. R. Rojas, H. Hjalmarsson och R. Hildebrand, "MIMO experiment design based on asymptotic model order theory," i Proceedings of the IEEE Conference on Decision and Control, 2009, s. 488-493.
[249]
H. Sandberg et al., "On performance limitations of congestion control," i Proceedings of the IEEE Conference on Decision and Control, 2009, s. 5869-5876.
[250]
X. Bombois och H. Hjalmarsson, "Optimal input design for robust H2 deconvolution filtering," i 15th IFAC Symposium on System Identification, SYSID 2009, 2009, s. 934-939.
[251]
K. E. J. Olofsson et al., "Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes," i Proceedings of the IEEE Conference on Decision and Control, 2009, s. 1348-1353.
[252]
K. Jacobsson et al., "ACK-clocking dynamics: Modelling the interaction between windows and the network," i 27TH IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM) : VOLS 1-5, 2008, s. 181-185.
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J. K. Huusom et al., "Improving convergence of iterative feedback tuning using optimal external perturbations," i Proceedings of the IEEE Conference on Decision and Control, 2008, s. 2618-2623.
[254]
B. Wahlberg, H. Hjalmarsson och J. Mårtensson, "On identification of cascade systems," i 17th World Congress, International Federation of Automatic Control, IFAC, 2008.
[255]
C. R. Rojas et al., "The cost of complexity in identification of FIR systems," i 17th World Congress, International Federation of Automatic Control, IFAC, 2008, s. 11451-11456.
[256]
V. Chotteau och H. Hjalmarsson, "Tuning of dissolved oxygen and pH PID control parameters in large scale bioreactor by lag control," i Proceedings of the Cell Culture Engineering XI Conference, 2008.
[257]
B. Wahlberg, H. Hjalmarsson och J. Mårtensson, "Variance analysis for identification of cascade systems," i 47th IEEE Conference on Decision and Control, CDC 2008, 2008, s. 131-136.
[258]
A. Tang et al., "Window flow control : Macroscopic properties from microscopic factors," i 27TH IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM), 2008, s. 538-546.
[259]
H. Hjalmarsson och J. Mårtensson, "A Geometric Approach to Variance Analysis in System Identification : Theory and Nonlinear Systems," i PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTRO, 2007, s. 5092-5097.
[260]
J. Mårtensson och H. Hjalmarsson, "A geometric approach to variance analysis in system identification : Linear Time-Invariant Systems," i PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, 2007, s. 4269-4274.
[261]
L. Gerencser, J. Mårtensson och H. Hjalmarsson, "Adaptive input design for ARX systems," i Proceedings of the European Control Conference, 2007, s. 5707-5714.
[262]
H. Hjalmarsson och J. Mårtensson, "Optimal input design for identification of non-linear systems : Learning from the linear case," i AMERICAN CONTROL CONFERENCE, 2007, s. 2325-2329.
[263]
K. Jacobsson, H. Hjalmarsson och N. Möller, "ACK-clock dynamics in network congestion control - An inner feedback loop with implications on inelastic flow impact," i PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL : VOLS 1-14, 2006, s. 1882-1887.
[264]
K. Jacobsson och H. Hjalmarsson, "Closed Loop Aspects of Fluid Flow Model Identification in Congestion Control," i 14th IFAC Symposium on System Identification, 2006, s. 879-884.
[265]
K.-E. Årzén et al., "Conclusions from the European Roadmap on Control of Computing Systems," i First International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks, 2006.
[266]
M. Barenthin et al., "Gain estimation for Hammerstein systems," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2006.
[267]
M. Barenthin, X. Bombois och H. Hjalmarsson, "Mixed H-2 and H-Infinity$ Input Design for Multivariable Systems," i 14th IFAC Symposium on System Identification, 2006, s. 1335-1340.
[268]
H. Hjalmarsson, J. Mårtensson och B. Wahlberg, "On Some Robustness Issues in Input Design," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2006.
[269]
B. Wahlberg, H. Hjalmarsson och M. Barenthin, "On optimal input design in system identification," i Proceedings 14th IFAC Symposium on System Identification, 2006.
[270]
J. Mårtensson och H. Hjalmarsson, "Robust Input Design Using Sum of Squares Constraints," i 14th IFAC Symposium on System Identification, 2006, s. 1352-1357.
[271]
K. Jacobsson, H. Hjalmarsson och K. H. Johansson, "Towards accurate congestion control models : validation and stability analysis," i MTNS, Kyoto, Japan, 2006.
[272]
L. Gerencsér och H. Hjalmarsson, "Adaptive input design in system identification," i 2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, 2005, s. 4988-4993.
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C. Fischione et al., "Analysis of TCP/IP over WCDMA Wireless Systems under Power Control, MAI and Link Level Error Recovery," i Proceedings International Workshop on Convergent Technologies (IWCT), 2005.
[274]
M. Barenthin, H. Jansson och H. Hjalmarsson, "Applications of mixed H2 and H∞ input design in identification," i 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005; Prague; Czech Republic; 3 July 2005 through 8 July 2005, 2005, s. 458-463.
[275]
J. Mårtensson och H. Hjalmarsson, "Closed loop identification of unstable poles and non-minimum phase zeros," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, s. 518-523.
[276]
J. Mårtensson och H. Hjalmarsson, "Exact quantification of the variance of estimated zeros," i 44th IEEE Conference on Decision and Control & European Control Conference, 2005, s. 4275-4280.
[277]
M. Barenthin och H. Hjalmarsson, "Identification and control: Joint input design and H infinity state feedback with ellipsoidal parametric uncertainty," i Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, 2005, s. 6454-6459.
[278]
J. Mårtensson, H. Jansson och H. Hjalmarsson, "Input design for identification of zeros," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, s. 470-475.
[279]
K. Jacobsson och H. Hjalmarsson, "Local analysis of structural limitations of network congestion control," i 2005 44th IEEE Conference on Decision and Control & European Control Conference : Vols 1-8, 2005, s. 6744-6749.
[280]
H. Jansson och H. Hjalmarsson, "Optimal experiment design in closed loop," i IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, s. 488-493.
[281]
K. Jacobsson, H. Hjalmarsson och K. H. Johansson, "Unbiased bandwidth estimation in communication protocols," i Proceedings of the 16th IFAC World Congress, 2005, 2005.
[282]
M. Barenthin et al., "Validation of stability for an induction machine drive using power iterations," i Proceedings of the 16th IFAC World Congress, 2005, 2005, s. 892-897.
[283]
H. Jansson och H. Hjalmarsson, "A framework for mixed H-Infinity and H-2 input design," i International Symposium on Mathematical Theory of Networks and Systems, 2004.
[284]
H. Hjalmarsson och B. Ninness, "An exact finite sample variance expression for a class of frequency function estimates," i 43RD IEEE CONFERENCE ON DECISION AND CONTROL, 2004, s. 370-375.
[285]
H. Jansson och H. Hjalmarsson, "Convex computation of worst case criteria with applications in identification and control," i Proceedings of the IEEE Conference on Decision and Control, 2004, s. 3132-3137.
[286]
K. Jacobsson et al., "Estimation of RTT and bandwidth for congestion Control Applications in Communication Networks," i IEEE CDC, Paradise Island, Bahamas, 2004.
[287]
N. Möller, K. H. Johansson och H. Hjalmarsson, "Making retransmission delays in wireless links friendlier to TCP," i 43rd IEEE Conference on Decision and Control, December 14-17, 2004, Atlantis, Paradise Island, Bahamas, 2004.
[288]
H. Hjalmarsson och J. Schoukens, "On direct estimation of physical parameters in nonlinear models," i 6th IFAC Symposium on Nonlinear Control Systems, 2004.
[289]
H. Hjalmarsson och B. Ninness, "On explicit characterisation of reproducing kernels with applications in estimation theory," i International Symposium on Mathematical Theory of Networks and Systems, 2004.
[290]
K. Jacobsson et al., "Round trip time estimation in communication networks using adaptive Kalman filtering," i Reglermöte, Gothenburg, Sweden, 2004.
[291]
K. Jacobsson et al., "Some modeling and estimation issues in control of heterogeneous networks," i MTNS, Leuven, Belgium, 2004.
[292]
H. Hjalmarsson, "From experiments to closed loop control," i Proceedings 13th IFAC Symposium on System Identification, 2003.
[293]
J. Mårtensson och H. Hjalmarsson, "Identification of performance limitations using general SISO structures," i Proceedings 13th IFAC Symposium on System Identification, 2003, s. 519-524.
[294]
B. Ninness och H. Hjalmarsson, "On the Frequency Domain Accuracy of Closed Loop Estimates," i Proceedings of the IEEE Conference on Decision and Control, 2003, s. 5997-6002.
[295]
H. Hjalmarsson och H. Jansson, "Using a sufficient condition to analyze the interplay between identification and control," i Proceedings 13th IFAC Symposium on System Identification, 2003.
[296]
B. Ninness och H. Hjalmarsson, "Variance Error Quantifications that are Exact for Finite Model Order," i Proceedings of the IEEE Conference on Decision and Control, 2003, s. 6003-6008.
[297]
O. Markusson, H. Hjalmarsson och M. Norrlöf, "A General Framework for Iterative Learning Control," i 15th IFAC World Congress, 2002.
[298]
B. Ninness och H. Hjalmarsson, "Accurate quantification of variance error," i 15th IFAC World Congress, 2002.
[299]
B. Ninness och H. Hjalmarsson, "Exact Quantification of variance error," i 15th IFAC World Congress, 2002, s. 1055-1060.
[300]
H. Jansson och H. Hjalmarsson, "From open-loop learning to closed-loop control," i IEEE DECIS CONTR PROC, 2002, s. 4209-4214.
[301]
K. Lindqvist och H. Hjalmarsson, "Identification of performance limitations using ARX models," i 15th IFAC World Congress, 2002.
[302]
[303]
H. Jansson, H. Hjalmarsson och A. Hansson, "On methods for gradient estimation in IFT for MIMO systems," i 15th IFAC World Congress, 2002.
[304]
L. Gerencser, Z. Vágó och H. Hjalmarsson, "Randomized Iterative Feedback Tuning," i 15th IFAC World Congress, 2002.
[305]
S. M. Veres och H. Hjalmarsson, "Tuning for robustness and performance using iterative feedback tuning," i Proceedings of the IEEE Conference on Decision and Control, 2002, s. 4682-4687.
[306]
H. Jansson och H. Hjalmarsson, "Using local and global information in identification for control," i 15th IFAC World Congress, 2002.
[307]
B. Henriksson, O. Markusson och H. Hjalmarsson, "Control relevant identification of nonlinear systems using linear models," i PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, 2001, s. 1178-1183.
[308]
O. Markusson och H. Hjalmarsson, "Higher order cumulant based parameter estimation in nonlinear time series models," i PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, 2001, s. 4888-4889.
[309]
K. Lindqvist och H. Hjalmarsson, "Identification for control: Adaptive input design using convex optimization," i PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, s. 4326-4331.
[310]
H. Hjalmarsson och K. Lindqvist, "Identification for control: L-2 and L-infinity methods," i PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, s. 2701-2706.
[311]
K. Lindqvist och H. Hjalmarsson, "Identification of Performance Limitations in Control," i European Control Conference, 2001, s. 1446-1451.
[312]
H. Hjalmarsson och K. Lindqvist, "Identification of performance limitations in control," i 2001 European Control Conference, ECC 2001, 2001, s. 1446-1451.
[313]
O. Markusson, H. Hjalmarsson och M. Norrlöf, "Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion," i PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, s. 4481-4482.
[314]
H. Hjalmarsson och S. M. Veres, "Robust loopshaping using Iterative Feedback Tuning," i European Control Conference, 2001, s. 2046-2051.
[315]
H. Hjalmarsson och S. Veres, "Robust loopshaping using iterative feedback tuning," i 2001 European Control Conference, ECC 2001, 2001, s. 2046-2051.
[316]
O. Markusson och H. Hjalmarsson, "Spectral Matching for parameter estimation in nonlinear input-output models," i European Control Conference, 2001, s. 3665-3670.
[317]
B. Ninness och H. Hjalmarsson, "Improved and quantified accuracy for linear spectral estimates," i Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, 2000, s. 251-254.
[318]
O. Markusson och H. Hjalmarsson, "Inversion of nonlinear stochastic models for parameter estimation," i Proceedings of the IEEE Conference on Decision and Control, 2000, s. 1591-1596.
[319]
K. Lindqvist och H. Hjalmarsson, "Optimal Input Design Using Linear Matrix Inequalities," i Proceedings of the 12th IFAC Symposium on System Identification, 2000.
[320]
O. Markusson och H. Hjalmarsson, "Spectral based parameter estimation in nonlinear stochastic models," i The 12th IFAC Symposium on System Identification, 2000.
[321]
B. Ninness, H. Hjalmarsson och F. Gustafsson, "Asymptotic Variance Expressions for Output Error Model Structures," i 14th IFAC World Congress, 1999, s. 367-372.
[322]
B. Ninness, H. Hjalmarsson och F. Gustafsson, "Estimation Variance is not Model Structure Independent," i Proc. of the 7th Mediterranean Conf. on Control and Automation, 1999, s. 1687-1696.
[323]
H. Hjalmarsson och M. T. Cameron, "Iterative Feedback Tuning of controllers in cold rolling mills," i 14th IFAC World Congress, 1999.
[324]
U. Forssell och H. Hjalmarsson, "Maximum Likelihood Estimation of Models with Unstable Dynamics and Non-minimum Phase Noise Zeros," i 14th IFAC World Congress, 1999.
[325]
B. Ninness och H. Hjalmarsson, "Model Structure and Numerical Properties of Normal Equations," i 14th IFAC World Congress, 1999.
[326]
B. Ninness och H. Hjalmarsson, "Signal Spectra and Conditioning when using Orthonormal Parametrisation," i European Control Conference, 1999, s. 100-106.
[327]
H. Hjalmarsson och J. H. Braslavsky, "Tuning of controllers and generalized hold functions in sampled-data systems using Iterative Feedback Tuning," i 14th IFAC World Congress, 1999.
[328]
H. Hjalmarsson, "Control of nonlinear systems using Iterative Feedback Tuning," i Proc. 1998 American Control Conference, 1998, s. 2083-2087.
[329]
H. Hjalmarsson och B. Ninness, "Fast, non-iterative estimation of Hidden Markov models," i ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1998, s. 2253-2256.
[330]
B. Ninness och H. Hjalmarsson, "Generalized Fourier and Toeplitz results for rational orthonormal bases.," i International Symposium on Mathematical Theory of Networks and Systems, 1998.
[331]
H. Hjalmarsson och B. Ninness, "Identification in closed loop : Asymptotic high order variance for restricted complexity models," , 1998.
[332]
H. Hjalmarsson, "Iterative Feedback Tuning," i IFAC Workshop on Adaptive Control and Signal Processing, 1998, s. 109-116.
[333]
O. Markusson och H. Hjalmarsson, "Parameter Estimation in Partitioned Nonlinear Stochastic Models," i Proc. European Signal Processing Conference, 1998, s. 1021-1024.
[334]
H. Hjalmarsson och M. Gevers, "Frequency domain expressions of the accuracy of a model free control design scheme," i 11th IFAC Symposium on System Identification, 1997, s. 135-140.
[335]
B. Ninness och H. Hjalmarsson, "Modelling of Random Processes using Orthonormal Bases," i International Symposium on Mathematical Theory of Networks and Systems, 1996.
[336]
H. Hjalmarsson, "Optimal robust system identification: Bounded stochastic disturbances," i Proc. of the 13th IFAC World Congress, 1996.
[337]
H. Hjalmarsson och F. Gustafsson, "Composite modeling of transfer functions," i Proceedings of the IEEE Conference on Decision and Control, 1995, s. 228-233.
[338]
H. Hjalmarsson, "Model-Free Tuning of Controllers: Experience with Time-Varying Linear Systems," i Proceedings of European Control Conference, 1995, s. 2869-2874.
[339]
H. Hjalmarsson, S. Gunnarsson och M. Gevers, "Model-Free Tuning of a Robust Regulator for a Flexible Transmission System," i Proceedings of European Control Conference, 1995, s. 1975-1980.
[340]
H. Hjalmarsson, S. Gunnarsson och M. Gevers, "Optimality and sub-optimality of iterative identification and control design schemes," i Proceedings of the American Control Conference, 1995, s. 2559-2563.
[341]
L. Ljung och H. Hjalmarsson, "System Identification through the eyes of Model Validation," i Proceedings of European Control Conference, 1995, s. 949-954.
[342]
H. Hjalmarsson och L. Ljung, "A Unifying View of Disturbances in Identification," i 10th IFAC Symposium on System Identification, 1994, s. 73-78.
[343]
H. Hjalmarsson, S. Gunnarsson och M. Gevers, "Convergent iterative restricted complexity control design scheme," i Proceedings of the IEEE Conference on Decision and Control, 1994, s. 1735-1740.
[344]
H. Hjalmarsson et al., "Identification for control: closing the loop gives more accurate controllers," i Proceedings of the IEEE Conference on Decision and Control, 1994, s. 4150-4155.
[345]
J. Sjöberg, H. Hjalmarsson och L. Ljung, "Neural Networks in System Identification," i Proc. IFAC/IFORS Symposium on Identification and System Parameter Estimation, 1994, s. 2-049.
[346]
H. Akçay, H. Hjalmarsson och L. Ljung, "On the choice of norms i system identification," i 10th IFAC Symposium on System Identification, 1994, s. 103-108.
[347]
H. Akçay och H. Hjalmarsson, "The Least-Squares Identification of FIR Systems Subject to Worst-Case Noise," i 10th IFAC Symposium on System Identification, 1994, s. 85-90.
[348]
[349]
H. Hjalmarsson, "Asymptotic correct correlation tests in model validation," i Proceedings of the IEEE Conference on Decision and Control, 1993, s. 2058-2059.
[350]
H. Hjalmarsson, "Detecting Asymptotically Non-Vanishing Model Uncertainty," i 12th IFAC World Congress, 1993, s. 63-68.
[351]
H. Hjalmarsson och L. Ljung, "Discussion of `unknown-but-bounded' disturbances in system identification," i Proceedings of the IEEE Conference on Decision and Control, 1993, s. 535-536.
[352]
F. Gustafsson och H. Hjalmarsson, "Nineteen ML Estimators for Model Structure Selection," i Preprint 12th IFAC World Congress, 1993, s. 119-124.
[353]
H. Hjalmarsson, "Estimation of the variability of time-varying systems," i Proc. IFAC/IFORS Symposium on Identification and System Parameter Estimation, 1991, s. 1701-1706.
[354]
H. Hjalmarsson och L. Ljung, "How to estimate model uncertainty in the case of under-modelling," i Proceedings of the American Control Conference, 1990, s. 323-324.
Kapitel i böcker
[355]
L. Gerencser, Z. Vago och H. Hjalmarsson, "Randomization methods in optimization and adaptive control - Dedicated to Tyrone Duncan on occasion of his 60th birthday," i STOCHASTIC THEORY AND CONTROL : Proceedings of a Workshop held in Lawrence, Kansas, : Springer-Verlag New York, 2002, s. 137-153.
[356]
L. Ljung, J. Sjöberg och H. Hjalmarsson, "On Neural Network Model Structures in System Identification," i Identification, Adaptation, Learning. The Science of Learning Models from Data, 153. uppl. : Springer-Verlag New York, 1996, s. 366-399.
[357]
H. Hjalmarsson, L. Ljung och B. Wahlberg, "Assessing model quality from data," i Modeling, estimation and control of systems with uncertainty, G.B. Di Masi, A. Gombani and A.B. Kurzhansky red., : Birkhäuser Verlag, 1991, s. 167-187.
Icke refereegranskade
Artiklar
[358]
H. Hjalmarsson, C. R. Rojas och D. E. Rivera, "System identification : A Wiener-Hammerstein benchmark," Control Engineering Practice, vol. 20, no. 11, s. 1095-1096, 2012.
[359]
H. Hjalmarsson och M. Gevers, "Special section on algorithms and applications of Iterative Feedback Tuning," Control Engineering Practice, vol. 11, no. 9, s. 1021-1021, 2003.
Konferensbidrag
[360]
A. Ebadat et al., "Multi-room occupancy estimation through adaptive gray-box models," i Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 2015, s. 3705-3711.
[361]
H. Hjalmarsson, "System identification of complex and structured systems : Part I," i Proceedings of the 29th Benelux meeting on Systems and Control 2010, 2010.
[362]
H. Hjalmarsson, "System identification of complex and structured systems : Part II," i Proceedings of the 29th Benelux meeting on Systems and Control 2010, 2010.
[363]
H. Jansson och H. Hjalmarsson, "Mixed H-infinity and H-2 input design for identification," i 2004 43rd IEEE Conference on Decision and Control (CDC), Nassau, Bahamas, 14-17 December 2004, 2004, s. 388-393.
Böcker
[364]
[365]
Kapitel i böcker
[366]
M. Barenthin et al., "A control perspective on optimal input design in system identification," i Forever Ljung in System Identification, Torkel Glad and Gustaf Hendeby red., Lund : Studentlitteratur, 2006, s. 197-220.
[367]
B. Ninness och H. Hjalmarsson, "Numerical Conditioning," i Modelling and Identification with Rational Orthogonal Basis Functions, : Springer-Verlag New York, 2005, s. 161-188.
[368]
B. Ninness och H. Hjalmarsson, "Variance error, reproducing kernels, and orthonormal bases," i Modelling and Identification with Rational Orthogonal Functions, : Springer-Verlag New York, 2005, s. 103-161.
[369]
H. Hjalmarsson, "Non-Vanishing Model Errors," i The Modeling of Uncertainty in Control Systems, R.S. Smith and M. Dahleh red., : Springer-Verlag New York, 1994, s. 261-274.
Avhandlingar
[370]
H. Hjalmarsson, "Aspects on Incomplete Modeling in System Identification," Doktorsavhandling : Linköping University Electronic Press, 1993.
[371]
H. Hjalmarsson, "On Estimation of Model Quality in System Identification," Licentiatavhandling Linköping University, Sweden : Linköping University Electronic Press, 1990.
Samlingsverk (redaktörskap)
[372]
"Identification for Automotive Systems," , Springer-Verlag New York, Lecture Notes in Control and Information Sciences, 418, 2012.
Övriga
[373]
N. Everitt et al., "Variance Analysis of Linear SIMO Models with Spatially Correlated Noise," (Manuskript).
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