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Optimization and Systems Theory 50 most recent publications

[1]
J. Kronqvist et al., "Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems," in Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Revised Selected Papers, 2024, pp. 124-139.
[2]
T. Li et al., "Controllability of networked multiagent systems based on linearized Turing's model," Automatica, vol. 162, 2024.
[3]
P. Zhou and B. M. Chen, "Distributed Optimal Solutions for Multiagent Pursuit-Evasion Games for Capture and Formation Control," IEEE Transactions on Industrial Electronics, vol. 71, no. 5, pp. 5224-5234, 2024.
[4]
B. Yang et al., "Enhancing core–periphery robustness of networks against link-based attacks with imprecise information," Chaos, Solitons & Fractals, vol. 183, 2024.
[5]
A. Ringh et al., "Graph-structured tensor optimization for nonlinear density control and mean field games," SIAM Journal of Control and Optimization, vol. 62, no. 4, pp. 2176-2202, 2024.
[6]
Y. Li et al., "Inverse Kalman filtering problems for discrete-time systems," Automatica, vol. 163, 2024.
[7]
Y. Li et al., "A Duality-Based Approach to Inverse Kalman Filtering," in 22nd IFAC World Congress Yokohama, Japan, July 9-14, 2023, 2023, pp. 10258-10263.
[8]
Y. Xu et al., "A Game Approach for Defending System Security from an Attacker," in 22nd IFAC World Congress, Yokohama, Japan, Jul 9 2023 - Jul 14 2023, 2023, pp. 1710-1715.
[9]
Q. Ge et al., "A Novel Adaptive Kalman Filter Based on Credibility Measure," IEEE-CAA JOURNAL OF AUTOMATICA SINICA, vol. 10, no. 1, pp. 103-120, 2023.
[10]
D. Ek and A. Forsgren, "A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming," Computational optimization and applications, vol. 86, no. 1, pp. 1-48, 2023.
[11]
P. Zhou, X. Hu and Y. Dong, "Adaptive output observer for a nonautonomous leader system over periodic switching topologies and its applications to the formation control of offshore vessels," International Journal of Robust and Nonlinear Control, vol. 33, no. 15, pp. 9433-9449, 2023.
[12]
I. Bengtsson and A. Finnson, "Automated online adaptive dose restoration using cross-entropy objectives," Radiotherapy and Oncology, vol. 182, pp. S675-S676, 2023.
[13]
S. Frimodig et al., "Comparing Optimization Methods for Radiation Therapy Patient Scheduling using Different Objectives," Operations Research Forum, vol. 4, no. 4, 2023.
[14]
Y. Cheng, J. Karlsson and J. Li, "CRB Analysis for Mod-ADC with Known Folding-Count," in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings, 2023.
[15]
P. Zhou and B. M. Chen, "Distributed Optimal Solutions for Multiagent Pursuit-Evasion Games," in 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 2023, pp. 6424-6429.
[16]
C. Guo et al., "Fixed-time safe tracking control of uncertain high-order nonlinear pure-feedback systems via unified transformation functions," Kybernetika (Praha), vol. 59, no. 3, pp. 342-364, 2023.
[17]
I. Bengtsson, A. Forsgren and A. Fredriksson, "Implications of using the clinical target distribution as voxel-weights in radiation therapy optimization," Physics in Medicine and Biology, vol. 68, no. 9, 2023.
[18]
M. Kartasev, J. Salér and P. Ögren, "Improving the Performance of Backward Chained Behavior Trees that use Reinforcement Learning," in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 1572-1579.
[19]
Y. Li et al., "Inverse Kalman Filtering for Systems with Correlated Noises," in 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 2023, pp. 3626-3631.
[20]
A. Ringh et al., "Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization," IEEE Control Systems Letters, vol. 7, pp. 2898-2903, 2023.
[21]
Y. Cao et al., "Minimal Control Placement of Turing's Model Using Symmetries," in 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 2023, pp. 1456-1461.
[22]
H. Chen et al., "Mixed Integer Formulation with Linear Constraints forIntegrated Service Operations and Traveler Choices inMultimodal Mobility Systems," in hEART 2023: 11th Symposium of the European Association for Research in Transportation, September 6-8, 2023, 2023.
[23]
S. Zhao, C. Tsay and J. Kronqvist, "Model-Based Feature Selection for Neural Networks : A Mixed-Integer Programming Approach," in Learning and Intelligent Optimization : 17th International Conference, LION 17, Revised Selected Papers, 2023, pp. 223-238.
[24]
S. Frimodig, "Radiation Therapy Patient Scheduling: An Operations Research Approach," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2023;10, 2023.
[25]
Y. Li et al., "Robust formation control for unicycle robots with directional sensor information," Autonomous Intelligent Systems, vol. 3, no. 1, 2023.
[26]
J. Hu et al., "Special issue on nonlinear and multi-agent systems : Modeling, control and optimization," Kybernetika (Praha), vol. 59, no. 3, pp. 339-341, 2023.
[27]
F. Elvander and J. Karlsson, "Variance Analysis of Covariance and Spectral Estimates for Mixed-Spectrum Continuous-Time Signals," IEEE Transactions on Signal Processing, vol. 71, pp. 1395-1407, 2023.
[28]
Y. Li and X. Hu, "A Differential Game Approach to Intrinsic Formation Control," Automatica, vol. 136, 2022.
[29]
D. E. Bernal et al., "Alternative regularizations for Outer-Approximation algorithms for convex MINLP," Journal of Global Optimization, vol. 84, no. 4, pp. 807-842, 2022.
[30]
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.
[31]
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.
[32]
Ö. Özkahraman and P. Ögren, "Collaborative Navigation-Aware Coverage in Feature-Poor Environments," in International Conference on Intelligent Robots and Systems (IROS), 2022, 2022.
[33]
C. Sprague and P. Ögren, "Continuous-Time Behavior Trees as Discontinuous Dynamical Systems," IEEE Control Systems Letters, vol. 6, pp. 1891-1896, 2022.
[34]
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.
[35]
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.
[36]
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.
[37]
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.
[38]
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.
[39]
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.
[40]
Y. Cao et al., "Network Controllability of Turing Reaction and Diffusion Model," in 2022 41St Chinese Control Conference (Ccc), 2022, pp. 259-264.
[41]
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.
[42]
D. Lapandic et al., "Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance," in 2022 IEEE 61st Conference on Decision and Control (CDC), 2022, pp. 3351-3358.
[43]
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.
[44]
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.
[45]
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.
[46]
D. Lapandic et al., "Aperiodic Communication for MPC in Autonomous Cooperative Landing," in IFAC PAPERSONLINE, 2021, pp. 113-118.
[47]
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.
[48]
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.
[49]
S. Peng et al., "Chance-constrained games with mixture distributions," Mathematical Methods of Operations Research, vol. 94, no. 1, pp. 71-97, 2021.
[50]
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.
Full list in the KTH publications portal