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Lastest publications

Recent publications from the Division of Decision and Control Systems.

[1]
Y. Gao et al., "Distributional Reachability for Markov Decision Processes : Theory and Applications," IEEE Transactions on Automatic Control, vol. 69, no. 7, pp. 4598-4613, 2024.
[2]
E. Vlahakis et al., "AIMD-Inspired Switching Control of Computing Networks," IEEE Transactions on Control of Network Systems, vol. 11, no. 2, pp. 683-695, 2024.
[3]
L. Jiang, Y. Li and T. Bai, "DSFPAP-Net : Deeper and Stronger Feature Path Aggregation Pyramid Network for Object Detection in Remote Sensing Images," IEEE Geoscience and Remote Sensing Letters, vol. 21, 2024.
[4]
H. Zhang, G. Chen and Y. Hong, "Distributed Algorithm for Continuous-Type Bayesian Nash Equilibrium in Subnetwork Zero-Sum Games," IEEE Transactions on Control of Network Systems, vol. 11, no. 2, pp. 915-927, 2024.
[5]
P. Wijnbergen and S. Trenn, "Impulse-controllability of system classes of switched differential algebraic equations," MCSS. Mathematics of Control, Signals and Systems, vol. 36, no. 2, pp. 351-380, 2024.
[6]
A. M. Annaswamy, K. H. Johansson and G. Pappas, "Control for Societal-Scale Challenges: Road Map 2030," IEEE Control Systems, vol. 44, no. 3, pp. 30-32, 2024.
[7]
A. Johansson et al., "Hub-Based Platoon Formation : Optimal Release Policies and Approximate Solutions," IEEE transactions on intelligent transportation systems (Print), vol. 25, no. 6, pp. 5755-5766, 2024.
[8]
M. Hartmann, K. Morozovska and T. Laneryd, "Forecasting of wind farm power output based on dynamic loading of power transformer at the substation," Electric power systems research, vol. 234, 2024.
[9]
R.-C. Tzeng, N. Ohsaka and K. Ariu, "Matroid Semi-Bandits in Sublinear Time," in Proceedings of the 41 st International Conference on Machine Learning,, 2024.
[10]
S. Lindståhl, A. Proutiere and A. Johnsson, "Change point detection with adaptive measurement schedules for network performance verification," in SIGMETRICS/PERFORMANCE 2024 - Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024, pp. 83-84.
[11]
S. Lindståhl, A. Proutiere and A. Johnsson, "Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification," Performance Evaluation Review, vol. 52, no. 1, pp. 83-84, 2024.
[12]
J. Zhang, J. Hu and M. Johansson, "COMPOSITE FEDERATED LEARNING WITH HETEROGENEOUS DATA," in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings, 2024, pp. 8946-8950.
[13]
J. Zhang, D. Fay and M. Johansson, "DYNAMIC PRIVACY ALLOCATION FOR LOCALLY DIFFERENTIALLY PRIVATE FEDERATED LEARNING WITH COMPOSITE OBJECTIVES," in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings, 2024, pp. 9461-9465.
[14]
F. Urban et al., "Decarbonizing maritime shipping and aviation: Disruption, regime resistance and breaking through carbon lock-in and path dependency in hard-to-abate transport sectors," Environmental Innovation and Societal Transitions, vol. 52, 2024.
[15]
Y. Gao, K. H. Johansson and A. Abate, "CTL Model Checking of MDPs over Distribution Spaces: Algorithms and Sampling-based Computations," in HSCC 2024 - Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2024, part of CPS-IoT Week, 2024.
[16]
F. Chen, M. Sewlia and D. V. Dimarogonas, "Cooperative control of heterogeneous multi-agent systems under spatiotemporal constraints," Annual Reviews in Control, vol. 57, 2024.
[17]
M. Charitidou, "Control Synthesis for Multi-Agent Systems under Coupled Signal Temporal Logic Tasks : A Top-Down Model Predictive Approach," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:51, 2024.
[18]
M. Charitidou and D. V. Dimarogonas, "Edge-based funnel control for multi-agent systems using relative position measurements," in European Control Conference 2024, 25 - 28 June, 2024 Stockholm | Sweden, 2024.
[19]
R. A. González et al., "Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop," Automatica, vol. 166, 2024.
[20]
E. Berglund, "Novel Hessian-Based Algorithms for Unconstrained Optimization," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:43, 2024.
[21]
C. Wu and D. V. Dimarogonas, "From Partial and Horizontal Contraction to k-Contraction," IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2391-2398, 2024.
[22]
P. Yu, X. Tan and D. V. Dimarogonas, "Continuous-Time Control Synthesis Under Nested Signal Temporal Logic Specifications," IEEE Transactions on robotics, vol. 40, pp. 2272-2286, 2024.
[23]
M. Seidel et al., "A Window-Based Periodic Event-Triggered Consensus Scheme for Multiagent Systems," IEEE Transactions on Control of Network Systems, vol. 11, no. 1, pp. 414-426, 2024.
[24]
W. Chen et al., "A Phase Theory Of Multi-Input Multi-Output Linear Time-Invariant Systems," SIAM Journal of Control and Optimization, vol. 62, no. 2, pp. 1235-1260, 2024.
[25]
L. Xu et al., "Distributed Nonconvex Optimization With Event-Triggered Communication," IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2745-2752, 2024.
[26]
Y. S. Ribeiro et al., "Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO," IEEE Wireless Communications Letters, vol. 13, no. 3, pp. 607-611, 2024.
[27]
Y. Yi et al., "Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers," in Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024, pp. 16469-16477.
[28]
D. Gürgünoglu, "Channel Estimation Aspects of Reconfigurable Intelligent Surfaces," Licentiate thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:29, 2024.
[29]
D. Gurgunoglu and E. Björnson, "Combating Inter-Operator Pilot Contamination in Reconfigurable Intelligent Surfaces Assisted Multi-Operator Networks," IEEE Transactions on Communications, 2024.
[30]
M. Sharf, B. Besselink and K. H. Johansson, "Contract composition for dynamical control systems: Definition and verification using linear programming," Automatica, vol. 164, 2024.
[31]
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.
[32]
P. L. Wachel, K. Kowalczyk and C. R. Rojas, "Decentralized diffusion-based learning under non-parametric limited prior knowledge," European Journal of Control, vol. 75, 2024.
[33]
Z. Chen, G. Chen and Y. Hong, "Defense for Advanced Persistent Threat with Inadvertent and Malicious Insider Threats," Unmanned Systems, vol. 12, no. 2, pp. 341-358, 2024.
[34]
M. Charitidou and D. V. Dimarogonas, "Distributed MPC With Continuous-Time STL Constraint Satisfaction Guarantees," IEEE Control Systems Letters, vol. 8, pp. 211-216, 2024.
[35]
Z. Cheng, G. Chen and Y. Hong, "Equalizer Zero-Determinant Strategy in Discounted Repeated Stackelberg Asymmetric Game," Journal of Systems Science and Complexity, vol. 37, no. 1, pp. 184-203, 2024.
[36]
H. Mosskull and B. Wahlberg, "Adaptive feedforward control of sinusoidal disturbances with applications to electric propulsion systems," Control Engineering Practice, vol. 146, 2024.
[37]
A. Fontan, M. Ratta and C. Altafini, "From populations to networks: Relating diversity indices and frustration in signed graphs," PNAS Nexus, vol. 3, no. 2, 2024.
[38]
M. Andersson, "Modelling, parameter identification and aging-sensitive management of lithium-ion batteries in heavy-duty electric vehicles," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:24, 2024.
[39]
A. I. Rikos, C. N. Hadjicostis and K. H. Johansson, "Finite time quantized average consensus with transmission stopping guarantees and no quantization error," Automatica, vol. 163, 2024.
[40]
Y. Li et al., "Inverse Kalman filtering problems for discrete-time systems," Automatica, vol. 163, 2024.
[41]
M. Aguiar, "Learning flow functions : architectures, universal approximation and applications to spiking systems," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:20, 2024.
[42]
L. H. Taghavian, "Externally positive systems : Analysis and control based on combinatorial polynomials," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:19, 2024.
[43]
C. Liu, K. H. Johansson and Y. Shi, "Distributed empirical risk minimization with differential privacy," Automatica, vol. 162, 2024.
[44]
W. V. Calil et al., "Determining total cost of ownership and peak efficiency index of dynamically rated transformer at the PV-power plant," Electric power systems research, vol. 229, 2024.
[45]
N. Bastianello, R. Carli and S. Zampieri, "Internal Model-Based Online Optimization," IEEE Transactions on Automatic Control, vol. 69, no. 1, pp. 689-696, 2024.
[46]
F. Mehdifar, "Funnel-Based Control for Coupled Spatiotemporal Specifications," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:1, 2024.
[47]
M. Ramirez, D. Selvaratnam and C. Manzie, "Kinodynamic Motion Planning via Branch-And-Cut over Probabilistic Roadmaps," IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 247-254, 2024.
[48]
A. Ghosh et al., "DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models," Automatica, vol. 159, 2024.
[49]
D. Yuan et al., "Distributed zeroth-order optimization : Convergence rates that match centralized counterpart," Automatica, vol. 159, 2024.
[50]
F. Ruggeri et al., "Evaluation of Intrinsic Explainable Reinforcement Learning in Remote Electrical Tilt Optimization," in Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023, 2024, pp. 835-854.
Full list in the KTH publications portal