Publications by 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 and H. Hjalmarsson, "Application-Oriented Input Design With Low Coherence Constraint," IEEE Control Systems Letters, vol. 7, pp. 193-198, 2023.
[4]
J. Parsa, C. R. Rojas and H. Hjalmarsson, "Coherence-Based Input Design for Nonlinear Systems," IEEE Control Systems Letters, vol. 7, pp. 2934-2939, 2023.
[5]
X. Bombois et al., "On the informativity of direct identification experiments in dynamical networks," Automatica, vol. 148, pp. 110742, 2023.
[6]
K. Colin, M. Ferizbegovic and H. Hjalmarsson, "Regret Minimization for Linear Quadratic Adaptive Controllers Using Fisher Feedback Exploration," IEEE Control Systems Letters, vol. 6, pp. 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, pp. 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, pp. 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, pp. 118-128, 2020.
[13]
M. Abdalmoaty and H. Hjalmarsson, "Identification of Stochastic Nonlinear Models Using Optimal Estimating Functions," Automatica, vol. 119, 2020.
[14]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "Identification of linear models from quantized data : A midpoint-projection approach," IEEE Transactions on Automatic Control, vol. 65, no. 7, pp. 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, pp. 19-24, 2020.
[17]
M. Abdalmoaty, H. Hjalmarsson and B. Wahlberg, "The Gaussian MLE versus the Optimally weighted LSE," IEEE signal processing magazine (Print), vol. 37, no. 6, pp. 195-199, 2020.
[18]
R. S. Risuleo, F. Lindsten and H. Hjalmarsson, "Bayesian nonparametric identification of Wiener systems," Automatica, vol. 108, 2019.
[19]
M. Galrinho, C. R. Rojas and H. Hjalmarsson, "Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting," Automatica, vol. 102, pp. 45-57, 2019.
[20]
M. Abdalmoaty and H. Hjalmarsson, "Linear Prediction Error Methods for Stochastic Nonlinear Models," Automatica, vol. 105, pp. 49-63, 2019.
[21]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "Modeling and identification of uncertain-input systems," Automatica, vol. 105, pp. 130-141, 2019.
[22]
M. Galrinho, C. R. Rojas and H. Hjalmarsson, "Parametric Identification Using Weighted Null-Space Fitting," IEEE Transactions on Automatic Control, vol. 64, no. 7, pp. 2798-2813, 2019.
[23]
D. Rodrigues and H. Hjalmarsson, "Stability and Performance Analysis of Control Based on Incomplete Models," IFAC-PapersOnLine, vol. 52, no. 1, pp. 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, pp. 844-849, 2018.
[25]
N. Everitt, G. Bottegal and H. Hjalmarsson, "An empirical Bayes approach to identification of modules in dynamic networks," Automatica, vol. 91, pp. 144-151, 2018.
[26]
P. E. Valenzuela, C. R. Rojas and H. Hjalmarsson, "Analysis of averages over distributions of Markov processes," Automatica, vol. 98, pp. 354-357, 2018.
[27]
M. . R. Abdalmoaty and H. Hjalmarsson, "Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem⁎," IFAC-PapersOnLine, vol. 51, no. 15, pp. 784-789, 2018.
[28]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements⁎," IFAC-PapersOnLine, vol. 51, no. 15, pp. 724-729, 2018.
[29]
M. . R. Abdalmoaty, C. R. Rojas and H. Hjalmarsson, "Identification of a Class of Nonlinear Dynamical Networks⁎," IFAC-PapersOnLine, vol. 51, no. 15, pp. 868-873, 2018.
[30]
M. Ferizbegovic, M. Galrinho and H. Hjalmarsson, "Nonlinear FIR Identification with Model Order Reduction Steiglitz-McBride⁎," IFAC-PapersOnLine, vol. 51, no. 15, pp. 646-651, 2018.
[31]
N. Everitt, M. Galrinho and H. Hjalmarsson, "Open-loop asymptotically efficient model reduction with the Steiglitz–McBride method," Automatica, vol. 89, pp. 221-234, 2018.
[32]
X. Bombois et al., "Optimal identification experiment design for the interconnection of locally controlled systems," Automatica, vol. 89, pp. 169-179, 2018.
[33]
R. S. Risuleo and 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, pp. 647-652, 2018.
[34]
M. Galrinho et al., "Weighted Null-Space Fitting for Identification of Cascade Networks⁎," IFAC-PapersOnLine, vol. 51, no. 15, pp. 856-861, 2018.
[35]
G. Bottegal, H. Hjalmarsson and G. Pillonetto, "A new kernel-based approach to system identification with quantized output data," Automatica, vol. 85, pp. 145-152, 2017.
[36]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "A nonparametric kernel-based approach to Hammerstein system identification," Automatica, vol. 85, pp. 234-247, 2017.
[37]
M. Galrinho, N. Everitt and H. Hjalmarsson, "ARX modeling of unstable linear systems," Automatica, vol. 75, pp. 167-171, 2017.
[38]
L. Gerencser, H. Hjalmarsson and L. Huang, "Adaptive Input Design for LTI Systems," IEEE Transactions on Automatic Control, vol. 62, no. 5, pp. 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, pp. 31-56, 2017.
[40]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "Approximate inference of nonparametric Hammerstein models," IFAC-PapersOnLine, vol. 50, no. 1, pp. 8333-8338, 2017.
[41]
D. Eckhard et al., "Cost function shaping of the output error criterion," Automatica, vol. 76, pp. 53-60, 2017.
[42]
J. Mårtensson, N. Everitt and H. Hjalmarsson, "Covariance analysis in SISO linear systems identification," Automatica, vol. 77, pp. 82-92, 2017.
[43]
J. G. Stoddard, J. S. Welsh and H. Hjalmarsson, "EM-based hyperparameter optimization for regularized volterra kernel estimation," IEEE Control Systems Letters, vol. 1, no. 2, pp. 388-393, 2017.
[44]
M. Galrinho, N. Everitt and H. Hjalmarsson, "Incorporating noise modeling in dynamic networks using non-parametric models," IFAC-PapersOnLine, vol. 50, no. 1, pp. 10568-10573, 2017.
[45]
M. Fang, Y. Zhu and H. Hjalmarsson, "On anti-aliasing filtering and over-sampling scheme in system identification," Computers and Chemical Engineering, vol. 106, pp. 572-581, 2017.
[46]
G. Bottegal et al., "On maximum likelihood identification of errors-in-variables models," IFAC-PapersOnLine, vol. 50, no. 1, pp. 2824-2829, 2017.
[47]
N. Everitt et al., "Variance analysis of linear SIMO models with spatially correlated noise," Automatica, vol. 77, pp. 68-81, 2017.
[48]
R. S. Risuleo, G. Bottegal and H. Hjalmarsson, "Variational Bayes identification of acyclic dynamic networks," IFAC-PapersOnLine, vol. 50, no. 1, pp. 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, pp. 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, pp. 1-16, 2016.
[51]
C. A. Larsson, P. Hägg and 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, pp. 456-472, 2016.
[52]
Y. Zhu and H. Hjalmarsson, "The Box-Jenkins Steiglitz-McBride algorithm," Automatica, vol. 65, pp. 170-182, 2016.
[53]
P. Hägg et al., "The Transient Impulse Response Modeling Method for Non-parametric System Identication," Automatica, vol. 68, pp. 314-328, 2016.
[54]
L. Huang and H. Hjalmarsson, "A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems," IEEE Transactions on Automatic Control, vol. 60, no. 8, pp. 2242-2247, 2015.
[55]
P. E. Valenzuela, C. R. Rojas and H. Hjalmarsson, "A graph theoretical approach to input design for identification of nonlinear dynamical models," Automatica, vol. 51, pp. 233-242, 2015.
[56]
L. Huang, H. Hjalmarsson and H. Koeppl, "Almost sure stability and stabilization of discrete-time stochastic systems," Systems & control letters (Print), vol. 82, pp. 26-32, 2015.
[57]
G. Bottegal, G. Pillonetto and H. Hjalmarsson, "Bayesian kernel-based system identification with quantized output data," IFAC-PapersOnLine, vol. 48, no. 28, pp. 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, pp. 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, pp. 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, pp. 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, pp. 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, pp. 2247-2260, 2014.
[63]
C. R. Rojas, R. Toth and H. Hjalmarsson, "Sparse Estimation of Polynomial and Rational Dynamical Models," IEEE Transactions on Automatic Control, vol. 59, no. 11, pp. 2962-2977, 2014.
[64]
P. Ramazi, H. Hjalmarsson and J. Mårtensson, "Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models," Automatica, vol. 50, no. 6, pp. 1675-1683, 2014.
[65]
C. R. Rojas, D. Katselis and H. Hjalmarsson, "A Note on the SPICE Method," IEEE Transactions on Signal Processing, vol. 61, no. 18, pp. 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, pp. 2777-2782, 2013.
[67]
D. Eckhard et al., "Input design as a tool to improve the convergence of PEM," Automatica, vol. 49, no. 11, pp. 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, pp. 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, pp. 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, pp. 2776-2790, 2012.
[71]
H. Hjalmarsson and J. Mårtensson, "Finite model order accuracy in Hammerstein model estimation," Automatica, vol. 48, no. 10, pp. 2640-2646, 2012.
[72]
B. Wahlberg, H. Hjalmarsson and P. Stoica, "On the Performance of Optimal Input Signals for Frequency Response Estimation," IEEE Transactions on Automatic Control, vol. 57, no. 5, pp. 766-771, 2012.
[73]
L. Huang and H. Hjalmarsson, "Recursive estimators with Markovian jumps," Systems & control letters (Print), vol. 61, no. 10, pp. 1009-1016, 2012.
[74]
H. Hjalmarsson and J. Mårtensson, "A Geometric Approach to Variance Analysis in System Identification," IEEE Transactions on Automatic Control, vol. 56, no. 5, pp. 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, pp. 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, pp. 1388-1398, 2011.
[77]
J. Mårtensson, C. R. Rojas and H. Hjalmarsson, "Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller," Automatica, vol. 47, no. 3, pp. 578-583, 2011.
[78]
L. Ljung, H. Hjalmarsson and H. Ohlsson, "Four Encounters with System Identification," European Journal of Control, vol. 17, no. 5-6, pp. 449-471, 2011.
[79]
J. Mårtensson and 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, pp. 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, pp. 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, pp. 084003, 2011.
[82]
C. R. Rojas et al., "The cost of complexity in system identification: The Output Error case," Automatica, vol. 47, no. 9, pp. 1938-1948, 2011.
[83]
X. Bombois, H. Hjalmarsson and G. Scorletti, "Identification for robust H-2 deconvolution filtering," Automatica, vol. 46, no. 3, pp. 577-584, 2010.
[84]
B. Wahlberg, M. Barenthin Syberg and H. Hjalmarsson, "Non-parametric methods for L-2-gain estimation using iterative experiments," Automatica, vol. 46, no. 8, pp. 1376-1381, 2010.
[85]
A. Tang et al., "Queue Dynamics With Window Flow Control," IEEE/ACM Transactions on Networking, vol. 18, no. 5, pp. 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, pp. 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, pp. 551-564, 2009.
[88]
L. Gerencser, H. Hjalmarsson and J. Mårtensson, "Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design," Automatica, vol. 45, no. 3, pp. 623-633, 2009.
[89]
H. Hjalmarsson, "System Identification of Complex and Structured Systems," European Journal of Control, vol. 15, no. 3-4, pp. 275-310, 2009.
[90]
J. Mårtensson and H. Hjalmarsson, "Variance error quantification for identified poles and zeros," Automatica, vol. 45, no. 11, pp. 2512-2525, 2009.
[91]
B. Wahlberg, H. Hjalmarsson and J. Mårtensson, "Variance results for identification of cascade systems," Automatica, vol. 45, no. 6, pp. 1443-1448, 2009.
[92]
H. Hjalmarsson and H. Jansson, "Closed loop experiment design for linear time invariant dynamical systems via LMIs," Automatica, vol. 44, no. 3, pp. 623-636, 2008.
[93]
M. Barenthin and H. Hjalmarsson, "Identification and control: Joint input design and H-infinity state feedback with ellipsoidal parametric uncertainty via LMIs," Automatica, vol. 44, no. 2, pp. 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, pp. 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, pp. 11-20, 2006.
[97]
H. Hjalmarsson and B. Ninness, "Least-squares estimation of a class of frequency functions : A finite sample variance expression," Automatica, vol. 42, no. 4, pp. 589-600, 2006.
[98]
B. Ninness and H. Hjalmarsson, "Analysis of the variability of joint input-output estimation methods," Automatica, vol. 41, no. 7, pp. 1123-1132, 2005.
[99]
H. Hjalmarsson, "From experiment design to closed-loop control," Automatica, vol. 41, no. 3, pp. 393-438, 2005.
[100]
H. Jansson and H. Hjalmarsson, "Input design via LMIs admitting frequency-wise model specifications in confidence regions," IEEE Transactions on Automatic Control, vol. 50, no. 10, pp. 1534-1549, 2005.
[101]
B. Ninness and H. Hjalmarsson, "On the frequency domain accuracy of closed-loop estimates," Automatica, vol. 41, no. 7, pp. 1109-1122, 2005.
[102]
H. Jansson and H. Hjalmarsson, "Gradient approximations in iterative feedback tuning for multivariable processes," International journal of adaptive control and signal processing (Print), vol. 18, no. 8, pp. 665-681, 2004.
[103]
B. Ninness and H. Hjalmarsson, "The effect of regularization on variance error," IEEE Transactions on Automatic Control, vol. 49, no. 7, pp. 1142-1147, 2004.
[104]
B. Ninness and H. Hjalmarsson, "Variance error quantifications that are exact for finite-model order," IEEE Transactions on Automatic Control, vol. 49, no. 8, pp. 1275-1291, 2004.
[105]
W. K. Ho et al., "Relay auto-tuning of PID controllers using iterative feedback tuning," Automatica, vol. 39, no. 1, pp. 149-157, 2003.
[106]
H. Hjalmarsson, "Iterative feedback tuning - an overview," International journal of adaptive control and signal processing (Print), vol. 16, no. 5, pp. 373-395, 2002.
[107]
O. Markusson and H. Hjalmarsson, "Inversion of non-linear stochastic models for the purpose of parameter estimation," International Journal of Control, vol. 74, no. 18, pp. 1783-1795, 2001.
[108]
B. Ninness and 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, pp. 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, pp. 553-572, 1999.
[110]
B. Ninness, H. Hjalmarsson and F. Gustafsson, "The fundamental role of general orthonormal bases in system identification," IEEE Transactions on Automatic Control, vol. 44, no. 7, pp. 1384-1406, 1999.
[111]
B. Ninness, H. Hjalmarsson and F. Gustafsson, "Generalized Fourier and Toeplitz results for rational orthonormal bases," SIAM Journal on Control and Optimization, vol. 37, no. 2, pp. 429-460, 1998.
[112]
H. Hjalmarsson et al., "Iterative feedback tuning : Theory and applications," IEEE Control Systems Magazine, vol. 18, no. 4, pp. 26-41, 1998.
[113]
H. Hjalmarsson and T. Birkeland, "Iterative feedback tuning of linear time-invariant MIMO systems," Proceedings of the IEEE Conference on Decision and Control, vol. 4, pp. 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, pp. 947-953, 1998.
[115]
H. Hjalmarsson, M. Gevers and O. Lequin, "Iterative Feedback Tuning: theory and applications in chemical process control," Journal A, vol. 38, no. 1, pp. 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, pp. 283-309, 1997.
[117]
H. Hjalmarsson, M. Gevers and F. De Bruyne, "For model-based control design, closed-loop identification gives better performance," Automatica, vol. 32, no. 12, pp. 1659-1673, 1996.
[118]
H. Akcay, H. Hjalmarsson and L. Ljung, "On the choice of norms in system identification," IEEE Transactions on Automatic Control, vol. 41, no. 9, pp. 1367-1372, 1996.
[119]
H. Hjalmarsson and F. Gustafsson, "Composite modeling of transfer functions," IEEE Transactions on Automatic Control, vol. 40, no. 5, pp. 820-832, 1995.
[120]
H. Hjalmarsson, S. Gunnarsson and M. Gevers, "Model-free Tuning of a Robust Regulator for a Flexible Transmission System," European Journal of Control, vol. 1, no. 2, pp. 148-156, 1995.
[121]
J. Sjöberg et al., "Nonlinear black-box modeling in system identification: A unified overview," Automatica, vol. 31, no. 12, pp. 1691-1724, 1995.
[122]
A. Juditsky et al., "Nonlinear black-box models in system identification: Mathematical foundations," Automatica, vol. 31, no. 12, pp. 1725-1750, 1995.
[123]
F. Gustafsson and H. Hjalmarsson, "Twenty-one ML estimators for model selection," Automatica, vol. 31, no. 10, pp. 1377-1392, 1995.
[124]
H. Akçay and H. Hjalmarsson, "The least-squares identification of FIR systems subject to worst-case noise," System & Control Letters, vol. 23, pp. 329-338, 1994.
[125]
H. Hjalmarsson and L. Ljung, "Estimating model variance in the case of undermodeling," IEEE Transactions on Automatic Control, vol. 37, no. 7, pp. 1004-1008, 1992.
Konferensbidrag
[126]
M. Pasquini and H. Hjalmarsson, "E2-RTO: An Exploitation-Exploration Approach for Real Time Optimization," in IFAC-PapersOnLine, 22nd IFAC World Congress, 2023, pp. 1423-1430.
[127]
Y. Wang et al., "Model-based Medium Optimization Methodologies in High-cell Density Perfusion Culture," in Cell Culture Engineering XVIII, Cancun, Mexico, April 23-28 2023, 2023.
[128]
K. Colin, H. Hjalmarsson and X. Bombois, "Optimal exploration strategies for finite horizon regret minimization in some adaptive control problems," in 22nd IFAC World Congress Yokohama, Japan, July 9-14, 2023, 2023, pp. 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," in IFAC PAPERSONLINE, 2022, pp. 135-140.
[130]
K. Colin, H. Hjalmarsson and V. Chotteau, "Gaussian process modeling of macroscopic kinetics : a better-tailored kernel for Monod-type kinetics," in 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022 Vienna Austria, 27–29 July 2022, 2022, pp. 397-402.
[131]
J. Parsa, C. R. Rojas and H. Hjalmarsson, "Optimal Input Design for Sparse System Identification," in 2022 EUROPEAN CONTROL CONFERENCE (ECC), 2022, pp. 1999-2004.
[132]
Y. Wang et al., "Robust optimization with optimal experiment design - with application to continuous biopharmaceutical production," in IFAC PAPERSONLINE, 2022, pp. 234-241.
[133]
R. Bereza-Jarocinski et al., "Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances," in 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, pp. 6712-6717.
[134]
M. Ferizbegovic et al., "Bayes control of hammerstein systems," in 19th IFAC Symposium on System Identification, SYSID 2021, 2021, pp. 755-760.
[135]
M. Abdalmoaty et al., "Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances," in Proceedings The 60th IEEE conference on Decision and Control (CDC), 2021.
[136]
X. Bombois and H. Hjalmarsson, "Network topology detection via uncertainty analysis of an identified static model," in IFAC PAPERSONLINE, 2021, pp. 595-600.
[137]
R. A. González, C. R. Rojas and H. Hjalmarsson, "Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations," in Proceedings 2021 60th IEEE conference on decision and control (CDC), 2021, pp. 114-119.
[138]
J. Parsa and H. Hjalmarsson, "Optimal Input Design Through Infinity Norm Minimization Using Proximal Mapping," in 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, pp. 4442-4447.
[139]
M. Fang, M. Galrinho and H. Hjalmarsson, "Recursive Weighted Null-Space Fitting Method for Identification of Multivariate Systems," in IFAC PAPERSONLINE, 2021, pp. 345-350.
[140]
M. Ferizbegovic et al., "Willems' fundamental lemma based on second-order moments," in 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, pp. 396-401.
[141]
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M. Barenthin and H. Hjalmarsson, "Identification and control: Joint input design and H infinity state feedback with ellipsoidal parametric uncertainty," in Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, 2005, pp. 6454-6459.
[278]
J. Mårtensson, H. Jansson and H. Hjalmarsson, "Input design for identification of zeros," in IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, pp. 470-475.
[279]
K. Jacobsson and H. Hjalmarsson, "Local analysis of structural limitations of network congestion control," in 2005 44th IEEE Conference on Decision and Control & European Control Conference : Vols 1-8, 2005, pp. 6744-6749.
[280]
H. Jansson and H. Hjalmarsson, "Optimal experiment design in closed loop," in IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, pp. 488-493.
[281]
K. Jacobsson, H. Hjalmarsson and K. H. Johansson, "Unbiased bandwidth estimation in communication protocols," in 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," in Proceedings of the 16th IFAC World Congress, 2005, 2005, pp. 892-897.
[283]
H. Jansson and H. Hjalmarsson, "A framework for mixed H-Infinity and H-2 input design," in International Symposium on Mathematical Theory of Networks and Systems, 2004.
[284]
H. Hjalmarsson and B. Ninness, "An exact finite sample variance expression for a class of frequency function estimates," in 43RD IEEE CONFERENCE ON DECISION AND CONTROL, 2004, pp. 370-375.
[285]
H. Jansson and H. Hjalmarsson, "Convex computation of worst case criteria with applications in identification and control," in Proceedings of the IEEE Conference on Decision and Control, 2004, pp. 3132-3137.
[286]
K. Jacobsson et al., "Estimation of RTT and bandwidth for congestion Control Applications in Communication Networks," in IEEE CDC, Paradise Island, Bahamas, 2004.
[287]
N. Möller, K. H. Johansson and H. Hjalmarsson, "Making retransmission delays in wireless links friendlier to TCP," in 43rd IEEE Conference on Decision and Control, December 14-17, 2004, Atlantis, Paradise Island, Bahamas, 2004.
[288]
H. Hjalmarsson and J. Schoukens, "On direct estimation of physical parameters in nonlinear models," in 6th IFAC Symposium on Nonlinear Control Systems, 2004.
[289]
H. Hjalmarsson and B. Ninness, "On explicit characterisation of reproducing kernels with applications in estimation theory," in 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," in Reglermöte, Gothenburg, Sweden, 2004.
[291]
K. Jacobsson et al., "Some modeling and estimation issues in control of heterogeneous networks," in MTNS, Leuven, Belgium, 2004.
[292]
H. Hjalmarsson, "From experiments to closed loop control," in Proceedings 13th IFAC Symposium on System Identification, 2003.
[293]
J. Mårtensson and H. Hjalmarsson, "Identification of performance limitations using general SISO structures," in Proceedings 13th IFAC Symposium on System Identification, 2003, pp. 519-524.
[294]
B. Ninness and H. Hjalmarsson, "On the Frequency Domain Accuracy of Closed Loop Estimates," in Proceedings of the IEEE Conference on Decision and Control, 2003, pp. 5997-6002.
[295]
H. Hjalmarsson and H. Jansson, "Using a sufficient condition to analyze the interplay between identification and control," in Proceedings 13th IFAC Symposium on System Identification, 2003.
[296]
B. Ninness and H. Hjalmarsson, "Variance Error Quantifications that are Exact for Finite Model Order," in Proceedings of the IEEE Conference on Decision and Control, 2003, pp. 6003-6008.
[297]
O. Markusson, H. Hjalmarsson and M. Norrlöf, "A General Framework for Iterative Learning Control," in 15th IFAC World Congress, 2002.
[298]
B. Ninness and H. Hjalmarsson, "Accurate quantification of variance error," in 15th IFAC World Congress, 2002.
[299]
B. Ninness and H. Hjalmarsson, "Exact Quantification of variance error," in 15th IFAC World Congress, 2002, pp. 1055-1060.
[300]
H. Jansson and H. Hjalmarsson, "From open-loop learning to closed-loop control," in IEEE DECIS CONTR PROC, 2002, pp. 4209-4214.
[301]
K. Lindqvist and H. Hjalmarsson, "Identification of performance limitations using ARX models," in 15th IFAC World Congress, 2002.
[302]
[303]
H. Jansson, H. Hjalmarsson and A. Hansson, "On methods for gradient estimation in IFT for MIMO systems," in 15th IFAC World Congress, 2002.
[304]
L. Gerencser, Z. Vágó and H. Hjalmarsson, "Randomized Iterative Feedback Tuning," in 15th IFAC World Congress, 2002.
[305]
S. M. Veres and H. Hjalmarsson, "Tuning for robustness and performance using iterative feedback tuning," in Proceedings of the IEEE Conference on Decision and Control, 2002, pp. 4682-4687.
[306]
H. Jansson and H. Hjalmarsson, "Using local and global information in identification for control," in 15th IFAC World Congress, 2002.
[307]
B. Henriksson, O. Markusson and H. Hjalmarsson, "Control relevant identification of nonlinear systems using linear models," in PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, 2001, pp. 1178-1183.
[308]
O. Markusson and H. Hjalmarsson, "Higher order cumulant based parameter estimation in nonlinear time series models," in PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, 2001, pp. 4888-4889.
[309]
K. Lindqvist and H. Hjalmarsson, "Identification for control: Adaptive input design using convex optimization," in PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, pp. 4326-4331.
[310]
H. Hjalmarsson and K. Lindqvist, "Identification for control: L-2 and L-infinity methods," in PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, pp. 2701-2706.
[311]
K. Lindqvist and H. Hjalmarsson, "Identification of Performance Limitations in Control," in European Control Conference, 2001, pp. 1446-1451.
[312]
H. Hjalmarsson and K. Lindqvist, "Identification of performance limitations in control," in 2001 European Control Conference, ECC 2001, 2001, pp. 1446-1451.
[313]
O. Markusson, H. Hjalmarsson and M. Norrlöf, "Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion," in PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, 2001, pp. 4481-4482.
[314]
H. Hjalmarsson and S. M. Veres, "Robust loopshaping using Iterative Feedback Tuning," in European Control Conference, 2001, pp. 2046-2051.
[315]
H. Hjalmarsson and S. Veres, "Robust loopshaping using iterative feedback tuning," in 2001 European Control Conference, ECC 2001, 2001, pp. 2046-2051.
[316]
O. Markusson and H. Hjalmarsson, "Spectral Matching for parameter estimation in nonlinear input-output models," in European Control Conference, 2001, pp. 3665-3670.
[317]
B. Ninness and H. Hjalmarsson, "Improved and quantified accuracy for linear spectral estimates," in Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, 2000, pp. 251-254.
[318]
O. Markusson and H. Hjalmarsson, "Inversion of nonlinear stochastic models for parameter estimation," in Proceedings of the IEEE Conference on Decision and Control, 2000, pp. 1591-1596.
[319]
K. Lindqvist and H. Hjalmarsson, "Optimal Input Design Using Linear Matrix Inequalities," in Proceedings of the 12th IFAC Symposium on System Identification, 2000.
[320]
O. Markusson and H. Hjalmarsson, "Spectral based parameter estimation in nonlinear stochastic models," in The 12th IFAC Symposium on System Identification, 2000.
[321]
B. Ninness, H. Hjalmarsson and F. Gustafsson, "Asymptotic Variance Expressions for Output Error Model Structures," in 14th IFAC World Congress, 1999, pp. 367-372.
[322]
B. Ninness, H. Hjalmarsson and F. Gustafsson, "Estimation Variance is not Model Structure Independent," in Proc. of the 7th Mediterranean Conf. on Control and Automation, 1999, pp. 1687-1696.
[323]
H. Hjalmarsson and M. T. Cameron, "Iterative Feedback Tuning of controllers in cold rolling mills," in 14th IFAC World Congress, 1999.
[324]
U. Forssell and H. Hjalmarsson, "Maximum Likelihood Estimation of Models with Unstable Dynamics and Non-minimum Phase Noise Zeros," in 14th IFAC World Congress, 1999.
[325]
B. Ninness and H. Hjalmarsson, "Model Structure and Numerical Properties of Normal Equations," in 14th IFAC World Congress, 1999.
[326]
B. Ninness and H. Hjalmarsson, "Signal Spectra and Conditioning when using Orthonormal Parametrisation," in European Control Conference, 1999, pp. 100-106.
[327]
H. Hjalmarsson and J. H. Braslavsky, "Tuning of controllers and generalized hold functions in sampled-data systems using Iterative Feedback Tuning," in 14th IFAC World Congress, 1999.
[328]
H. Hjalmarsson, "Control of nonlinear systems using Iterative Feedback Tuning," in Proc. 1998 American Control Conference, 1998, pp. 2083-2087.
[329]
H. Hjalmarsson and B. Ninness, "Fast, non-iterative estimation of Hidden Markov models," in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1998, pp. 2253-2256.
[330]
B. Ninness and H. Hjalmarsson, "Generalized Fourier and Toeplitz results for rational orthonormal bases.," in International Symposium on Mathematical Theory of Networks and Systems, 1998.
[331]
H. Hjalmarsson and B. Ninness, "Identification in closed loop : Asymptotic high order variance for restricted complexity models," , 1998.
[332]
H. Hjalmarsson, "Iterative Feedback Tuning," in IFAC Workshop on Adaptive Control and Signal Processing, 1998, pp. 109-116.
[333]
O. Markusson and H. Hjalmarsson, "Parameter Estimation in Partitioned Nonlinear Stochastic Models," in Proc. European Signal Processing Conference, 1998, pp. 1021-1024.
[334]
H. Hjalmarsson and M. Gevers, "Frequency domain expressions of the accuracy of a model free control design scheme," in 11th IFAC Symposium on System Identification, 1997, pp. 135-140.
[335]
B. Ninness and H. Hjalmarsson, "Modelling of Random Processes using Orthonormal Bases," in International Symposium on Mathematical Theory of Networks and Systems, 1996.
[336]
H. Hjalmarsson, "Optimal robust system identification: Bounded stochastic disturbances," in Proc. of the 13th IFAC World Congress, 1996.
[337]
H. Hjalmarsson and F. Gustafsson, "Composite modeling of transfer functions," in Proceedings of the IEEE Conference on Decision and Control, 1995, pp. 228-233.
[338]
H. Hjalmarsson, "Model-Free Tuning of Controllers: Experience with Time-Varying Linear Systems," in Proceedings of European Control Conference, 1995, pp. 2869-2874.
[339]
H. Hjalmarsson, S. Gunnarsson and M. Gevers, "Model-Free Tuning of a Robust Regulator for a Flexible Transmission System," in Proceedings of European Control Conference, 1995, pp. 1975-1980.
[340]
H. Hjalmarsson, S. Gunnarsson and M. Gevers, "Optimality and sub-optimality of iterative identification and control design schemes," in Proceedings of the American Control Conference, 1995, pp. 2559-2563.
[341]
L. Ljung and H. Hjalmarsson, "System Identification through the eyes of Model Validation," in Proceedings of European Control Conference, 1995, pp. 949-954.
[342]
H. Hjalmarsson and L. Ljung, "A Unifying View of Disturbances in Identification," in 10th IFAC Symposium on System Identification, 1994, pp. 73-78.
[343]
H. Hjalmarsson, S. Gunnarsson and M. Gevers, "Convergent iterative restricted complexity control design scheme," in Proceedings of the IEEE Conference on Decision and Control, 1994, pp. 1735-1740.
[344]
H. Hjalmarsson et al., "Identification for control: closing the loop gives more accurate controllers," in Proceedings of the IEEE Conference on Decision and Control, 1994, pp. 4150-4155.
[345]
J. Sjöberg, H. Hjalmarsson and L. Ljung, "Neural Networks in System Identification," in Proc. IFAC/IFORS Symposium on Identification and System Parameter Estimation, 1994, pp. 2-049.
[346]
H. Akçay, H. Hjalmarsson and L. Ljung, "On the choice of norms i system identification," in 10th IFAC Symposium on System Identification, 1994, pp. 103-108.
[347]
H. Akçay and H. Hjalmarsson, "The Least-Squares Identification of FIR Systems Subject to Worst-Case Noise," in 10th IFAC Symposium on System Identification, 1994, pp. 85-90.
[348]
[349]
H. Hjalmarsson, "Asymptotic correct correlation tests in model validation," in Proceedings of the IEEE Conference on Decision and Control, 1993, pp. 2058-2059.
[350]
H. Hjalmarsson, "Detecting Asymptotically Non-Vanishing Model Uncertainty," in 12th IFAC World Congress, 1993, pp. 63-68.
[351]
H. Hjalmarsson and L. Ljung, "Discussion of `unknown-but-bounded' disturbances in system identification," in Proceedings of the IEEE Conference on Decision and Control, 1993, pp. 535-536.
[352]
F. Gustafsson and H. Hjalmarsson, "Nineteen ML Estimators for Model Structure Selection," in Preprint 12th IFAC World Congress, 1993, pp. 119-124.
[353]
H. Hjalmarsson, "Estimation of the variability of time-varying systems," in Proc. IFAC/IFORS Symposium on Identification and System Parameter Estimation, 1991, pp. 1701-1706.
[354]
H. Hjalmarsson and L. Ljung, "How to estimate model uncertainty in the case of under-modelling," in Proceedings of the American Control Conference, 1990, pp. 323-324.
Kapitel i böcker
[355]
L. Gerencser, Z. Vago and H. Hjalmarsson, "Randomization methods in optimization and adaptive control - Dedicated to Tyrone Duncan on occasion of his 60th birthday," in STOCHASTIC THEORY AND CONTROL : Proceedings of a Workshop held in Lawrence, Kansas, : Springer-Verlag New York, 2002, pp. 137-153.
[356]
L. Ljung, J. Sjöberg and H. Hjalmarsson, "On Neural Network Model Structures in System Identification," in Identification, Adaptation, Learning. The Science of Learning Models from Data, 153th ed. : Springer-Verlag New York, 1996, pp. 366-399.
[357]
H. Hjalmarsson, L. Ljung and B. Wahlberg, "Assessing model quality from data," in Modeling, estimation and control of systems with uncertainty, G.B. Di Masi, A. Gombani and A.B. Kurzhansky Ed., : Birkhäuser Verlag, 1991, pp. 167-187.
Icke refereegranskade
Artiklar
[358]
H. Hjalmarsson, C. R. Rojas and D. E. Rivera, "System identification : A Wiener-Hammerstein benchmark," Control Engineering Practice, vol. 20, no. 11, pp. 1095-1096, 2012.
[359]
H. Hjalmarsson and M. Gevers, "Special section on algorithms and applications of Iterative Feedback Tuning," Control Engineering Practice, vol. 11, no. 9, pp. 1021-1021, 2003.
Konferensbidrag
[360]
A. Ebadat et al., "Multi-room occupancy estimation through adaptive gray-box models," in Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 2015, pp. 3705-3711.
[361]
H. Hjalmarsson, "System identification of complex and structured systems : Part I," in Proceedings of the 29th Benelux meeting on Systems and Control 2010, 2010.
[362]
H. Hjalmarsson, "System identification of complex and structured systems : Part II," in Proceedings of the 29th Benelux meeting on Systems and Control 2010, 2010.
[363]
H. Jansson and H. Hjalmarsson, "Mixed H-infinity and H-2 input design for identification," in 2004 43rd IEEE Conference on Decision and Control (CDC), Nassau, Bahamas, 14-17 December 2004, 2004, pp. 388-393.
Böcker
[364]
[365]
Kapitel i böcker
[366]
M. Barenthin et al., "A control perspective on optimal input design in system identification," in Forever Ljung in System Identification, Torkel Glad and Gustaf Hendeby Ed., Lund : Studentlitteratur, 2006, pp. 197-220.
[367]
B. Ninness and H. Hjalmarsson, "Numerical Conditioning," in Modelling and Identification with Rational Orthogonal Basis Functions, : Springer-Verlag New York, 2005, pp. 161-188.
[368]
B. Ninness and H. Hjalmarsson, "Variance error, reproducing kernels, and orthonormal bases," in Modelling and Identification with Rational Orthogonal Functions, : Springer-Verlag New York, 2005, pp. 103-161.
[369]
H. Hjalmarsson, "Non-Vanishing Model Errors," in The Modeling of Uncertainty in Control Systems, R.S. Smith and M. Dahleh Ed., : Springer-Verlag New York, 1994, pp. 261-274.
Avhandlingar
[370]
H. Hjalmarsson, "Aspects on Incomplete Modeling in System Identification," Doctoral thesis : Linköping University Electronic Press, 1993.
[371]
H. Hjalmarsson, "On Estimation of Model Quality in System Identification," Licentiate thesis 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," (Manuscript).
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