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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]
Ö. Özkahraman and P. Ögren, "Collaborative Navigation-Aware Coverage in Feature-Poor Environments," in International Conference on Intelligent Robots and Systems (IROS), 2022, 2022.
[5]
C. Sprague and P. Ögren, "Continuous-Time Behavior Trees as Discontinuous Dynamical Systems," IEEE CONTROL SYSTEMS LETTERS, vol. 6, pp. 1891-1896, 2022.
[6]
Ö. Özkahraman et al., "Data-Driven Damage Detection and Control Adaptation for an Autonomous Underwater Vehicle," in 61st IEEE Conference on Decision and Control (CDC), 2022, 2022.
[7]
S. Gao et al., "Extended prescribed performance control with input quantization for nonlinear systems," International Journal of Robust and Nonlinear Control, vol. 32, no. 6, pp. 3801-3821, 2022.
[8]
I. Bengtsson, A. Fredriksson and A. Forsgren, "Implications of Including Tumor Presence Probabilities as Weights in Radiotherapy Optimization," International Journal of Radiation Oncology, Biology, Physics, vol. 114, no. 3, pp. E576-E576, 2022.
[9]
R. Singh et al., "Inference With Aggregate Data in Probabilistic Graphical Models : An Optimal Transport Approach," IEEE Transactions on Automatic Control, vol. 67, no. 9, pp. 4483-4497, 2022.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
A. Lundell, J. Kronqvist and T. Westerlund, "The supporting hyperplane optimization toolkit for convex MINLP," Journal of Global Optimization, vol. 84, no. 1, pp. 1-41, 2022.
[15]
[16]
D. Lapandic et al., "Aperiodic Communication for MPC in Autonomous Cooperative Landing," in IFAC PAPERSONLINE, 2021, pp. 113-118.
[17]
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.
[18]
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.
[19]
S. Peng et al., "Chance-constrained games with mixture distributions," Mathematical Methods of Operations Research, vol. 94, no. 1, pp. 71-97, 2021.
[20]
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.
[21]
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.
[22]
I. Lourenço et al., "Cooperative System Identification via Correctional Learning," in IFAC PAPERSONLINE, 2021, pp. 19-24.
[23]
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.
[24]
A. Ringh et al., "Efficient computations of multi-species mean field games via graph-structured optimal transport," in Proceedings 2021 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 5261-5268.
[25]
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.
[26]
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.
[27]
S. Peng et al., "Games with distributionally robust joint chance constraints," Optimization Letters, 2021.
[28]
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.
[29]
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.
[30]
R. Singh et al., "Incremental Inference of Collective Graphical Models," IEEE Control Systems Letters, vol. 5, no. 2, pp. 421-426, 2021.
[31]
R. Winqvist, A. Venkitaraman and B. Wahlberg, "Learning Models of Model Predictive Controllers using Gradient Data," in IFAC PAPERSONLINE, 2021, pp. 7-12.
[32]
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.
[33]
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.
[34]
B. Zhu et al., "M2-spectral estimation : A relative entropy approach," Automatica, vol. 125, 2021.
[35]
S. Zhang et al., "Modeling Collective Behaviors : A Moment-Based Approach," IEEE Transactions on Automatic Control, vol. 66, no. 1, pp. 33-48, 2021.
[36]
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.
[37]
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.
[38]
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.
[39]
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.
[40]
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.
[41]
I. Haasler, Y. Chen and J. Karlsson, "Optimal Steering of Ensembles with Origin-Destination Constraints," IEEE Control Systems Letters, vol. 5, no. 3, pp. 881-886, 2021.
[42]
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.
[43]
C. Tsay et al., "Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks," in Advances in Neural Information Processing Systems, 2021, pp. 3068-3080.
[44]
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.
[45]
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.
[46]
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.
[48]
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.
[49]
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.
[50]
Y. Li, Y. Yao and X. Hu, "Continuous-time inverse quadratic optimal control problem," Automatica, vol. 117, 2020.
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Belongs to: Optimization and Systems Theory
Last changed: Jun 05, 2019