Publications
Optimization and Systems Theory 50 most recent publications
[1]
Y. Li and X. Hu,
"A Differential Game Approach to Intrinsic Formation Control,"
Automatica, vol. 136, 2022.
[2]
A. Ringh, J. Karlsson and A. Lindquist,
"An analytic interpolation approach to stability margins with emphasis on time delay,"
IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 105-120, 2022.
[3]
S. Peng, F. Maggioni and A. Lisser,
"Bounds for probabilistic programming with application to a blend planning problem,"
European Journal of Operational Research, vol. 297, no. 3, pp. 964-976, 2022.
[4]
C. Sprague and P. Ögren,
"Continuous-Time Behavior Trees as Discontinuous Dynamical Systems,"
IEEE CONTROL SYSTEMS LETTERS, vol. 6, pp. 1891-1896, 2022.
[5]
Y. Li,
"Inverse and Forward Approaches for Optimal Control and Estimation in Agent-Based Systems,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2022;19, 2022.
[6]
M. Zhou et al.,
"Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform : A Case Study of Beijing Subway Stations,"
IEEE transactions on intelligent transportation systems (Print), vol. 23, no. 2, pp. 1492-1504, 2022.
[7]
J. Fan et al.,
"On the complexity of the optimal transport problem with graph-structured cost,"
in Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 2022, pp. 9147-9165.
[8]
J. Javaloyes-Anton, J. Kronqvist and J. A. Caballero,
"Simulation-based optimization of distillation processes using an extended cutting plane algorithm,"
Computers and Chemical Engineering, vol. 159, 2022.
[9]
L. Liu et al.,
"A Design of Smart Unmanned Vending Machine for New Retail Based on Binocular Camera and Machine Vision,"
IEEE Consumer Electronics Magazine, pp. 1-1, 2021.
[10]
D. Lapandic et al.,
"Aperiodic Communication for MPC in Autonomous Cooperative Landing,"
in IFAC PAPERSONLINE, 2021, pp. 113-118.
[11]
D. Ek and A. Forsgren,
"Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization,"
Computational optimization and applications, vol. 79, no. 1, pp. 155-191, 2021.
[12]
R. F. D. S. Oliveira et al.,
"Autonomous Bus Driving : A Novel Motion-Planning Approach,"
IEEE Vehicular Technology Magazine, vol. 16, no. 3, pp. 29-37, 2021.
[13]
S. Peng et al.,
"Chance-constrained games with mixture distributions,"
Mathematical Methods of Operations Research, vol. 94, no. 1, pp. 71-97, 2021.
[14]
I. Haasler, J. Karlsson and A. Ringh,
"Control and Estimation of Ensembles via Structured Optimal Transport,"
IEEE CONTROL SYSTEMS MAGAZINE, vol. 41, no. 4, pp. 50-69, 2021.
[15]
F. Elvander, J. Karlsson and T. van Waterschoot,
"Convex Clustering for Multistatic Active Sensing via Optimal Mass Transport,"
in 2021 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1730-1734.
[16]
I. Lourenço et al.,
"Cooperative System Identification via Correctional Learning,"
in IFAC PAPERSONLINE, 2021, pp. 19-24.
[17]
H. Zhang, Y. Li and X. Hu,
"Discrete-Time Inverse Linear Quadratic Optimal Control over Finite Time-Horizon under Noisy Output Measurements,"
Control Theory and Technology, vol. 19, no. 4, pp. 563-572, 2021.
[18]
Ö. Özkahraman and P. Ögren,
"Efficient Navigation Aware Seabed Coverage using AUVs,"
in Proceedings of 2021 IEEE International Conference on Safety, Security, and Rescue Robotics (SSRR), October 25-27 2021, New York, USA., 2021.
[19]
D. Ek and A. Forsgren,
"Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function,"
Computational optimization and applications, vol. 79, no. 3, pp. 789-816, 2021.
[20]
S. Peng et al.,
"Games with distributionally robust joint chance constraints,"
Optimization Letters, 2021.
[21]
I. Lourenço et al.,
"Hidden Markov Models : Inverse Filtering, Belief Estimation and Privacy Protection,"
Journal of Systems Science and Complexity, vol. 34, no. 5, pp. 1801-1820, 2021.
[22]
Y. Li, B. Wahlberg and X. Hu,
"Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems,"
Journal of Systems Science and Complexity, vol. 34, no. 5, pp. 1840-1857, 2021.
[23]
R. Singh et al.,
"Incremental Inference of Collective Graphical Models,"
IEEE Control Systems Letters, vol. 5, no. 2, pp. 421-426, 2021.
[24]
R. Winqvist, A. Venkitaraman and B. Wahlberg,
"Learning Models of Model Predictive Controllers using Gradient Data,"
in IFAC PAPERSONLINE, 2021, pp. 7-12.
[25]
L. N. Egidio, A. Hansson and B. Wahlberg,
"Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm,"
in 2021 international joint conference on neural networks (IJCNN), 2021.
[26]
B. Zhu et al.,
"M-2 SPECTRAL ESTIMATION : A FLEXIBLE APPROACH ENSURING RATIONAL SOLUTIONS,"
SIAM Journal of Control and Optimization, vol. 59, no. 4, pp. 2977-2996, 2021.
[27]
[28]
S. Zhang et al.,
"Modeling Collective Behaviors : A Moment-Based Approach,"
IEEE Transactions on Automatic Control, vol. 66, no. 1, pp. 33-48, 2021.
[29]
I. Haasler et al.,
"Multimarginal optimal transport with a tree-structured cost and the schrödinger bridge problem,"
SIAM Journal of Control and Optimization, vol. 59, no. 4, pp. 2428-2453, 2021.
[30]
E. Ringh and E. Jarlebring,
"Nonlinearizing two-parameter eigenvalue problems,"
SIAM Journal on Matrix Analysis and Applications, vol. 42, no. 2, pp. 775-799, 2021.
[31]
E. Ringh,
"Numerical methods for Sylvester-type matrix equations and nonlinear eigenvalue problems,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2021:08, 2021.
[32]
T. T. Georgiou and A. Lindquist,
"On a Fejer-Riesz factorization of generalized trigonometric polynomials,"
Communications in Information and Systems, vol. 21, no. 3, pp. 371-384, 2021.
[33]
A. Ringh, J. Karlsson and A. Lindquist,
"On analytic interpolation with non-classical constraints for solving problems in robust control,"
in 2021 AMERICAN CONTROL CONFERENCE (ACC), 2021, pp. 2374-2381.
[34]
B. Yang et al.,
"Optimizing Robustness of Core-Periphery Structure in Complex Networks,"
IEEE Transactions on Circuits and Systems - II - Express Briefs, vol. 68, no. 12, pp. 3572-3576, 2021.
[35]
S. Peng and J. Jiang,
"Stochastic mathematical programs with probabilistic complementarity constraints : SAA and distributionally robust approaches,"
Computational optimization and applications, vol. 80, no. 1, pp. 153-184, 2021.
[36]
L. Liu et al.,
"A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network,"
in 2020 IEEE Nordic Circuits and Systems Conference, NORCAS 2020 - Proceedings, 2020.
[37]
L. Liu et al.,
"An Autonomous Error-Tolerant Architecture Featuring Self-reparation for Convolutional Neural Networks,"
in Proceeding of the IEEE Vehicular Technology Conference, 2020.
[38]
S. Zhang et al.,
"An intrinsic approach to formation control of regular polyhedra for reduced attitudes,"
Automatica, vol. 111, 2020.
[39]
D. Ek,
"Approaches to accelerate methods for solving systems of equations arising in nonlinear optimization,"
Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2020:37, 2020.
[40]
X. He et al.,
"Consistent Kalman filters for nonlinear uncertain systems over sensor networks,"
Control Theory and Technology, vol. 18, no. 4, pp. 399-408, 2020.
[41]
Y. Li, Y. Yao and X. Hu,
"Continuous-time inverse quadratic optimal control problem,"
Automatica, vol. 117, 2020.
[42]
Y. Li et al.,
"Credit scoring by incorporating dynamic networked information,"
European Journal of Operational Research, vol. 286, no. 3, pp. 1103-1112, 2020.
[43]
S. Banert et al.,
"Data-driven nonsmooth optimization,"
SIAM Journal on Optimization, vol. 30, no. 1, pp. 102-131, 2020.
[44]
J. Xu et al.,
"Design of Smart Unstaffed Retail Shop Based on IoT and Artificial Intelligence,"
IEEE Access, vol. 8, pp. 147728-147737, 2020.
[45]
R. Mattila et al.,
"Fast and consistent learning of hidden markov models by incorporating non-consecutive correlations,"
in 37th International Conference on Machine Learning, ICML 2020, 2020, pp. 6741-6752.
[46]
S. Gao et al.,
"Fuzzy adaptive automatic train operation control with protection constraints : A residual nonlinearity approximation-based approach,"
Engineering applications of artificial intelligence, vol. 96, 2020.
[47]
A. Fontan et al.,
"Interval Consensus for Multiagent Networks,"
IEEE Transactions on Automatic Control, vol. 65, no. 5, pp. 1855-1869, 2020.
[48]
Y. Li, J. Du and X. Hu,
"Intrinsic Formation Control Under Finite-Time Differential Game Framework,"
in Proceedings of the 39th chinese control conference, 2020, pp. 4895-4900.
[49]
Y. Li and X. Hu,
"Intrinsic Formation of Regular Polyhedra : A Differential Game Approach,"
in Proceedings of the IEEE Conference on Decision and Control, 2020, pp. 4748-4753.
[50]
R. Mattila et al.,
"Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems,"
IEEE Transactions on Signal Processing, vol. 68, pp. 4987-5002, 2020.