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Lastest publications

Recent publications from the Division of Decision and Control Systems.

[1]
Z. Wang, "Towards Efficient and Robust Decentralized Learning," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2026:13, 2026.
[2]
D. Deplano et al., "Optimization and Learning in Open Multi-Agent Systems," IEEE Transactions on Automatic Control, 2026.
[3]
A. Wiltz, "Set-Invariance Methods for Time-Varying Constraints, Spatio-Temporal Logic and Coordination," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2026:14, 2026.
[4]
J. V. Saraiva et al., "Integrating Aerial and Ground Users: Deep Reinforcement Learning and Convex Optimization for Data Power Control in Cell-Free Networks," IEEE Transactions on Vehicular Technology, pp. 1-16, 2026.
[5]
J. Zhang, J. Hu and M. Johansson, "Non-convex composite federated learning with heterogeneous data," Automatica, vol. 183, 2026.
[6]
L. Ballotta et al., "Personalized and Resilient Distributed Learning Through Opinion Dynamics," IEEE Transactions on Control of Network Systems, 2026.
[7]
X. Ru et al., "Adaptive Fault-Tolerant Perimeter Control for Two-Region Networks With Actuator Faults," IEEE Transactions on Intelligent Transportation Systems, vol. 27, no. 1, pp. 1170-1181, 2026.
[8]
X. Tong et al., "Leveraging sidewalk robots for walkability-related analyses," Computers, Environment and Urban Systems, vol. 124, 2026.
[9]
L. Zhao et al., "Delay Compensation for Remote Driven Vehicles : An SRCKF-Based Predictor," IEEE Transactions on Industrial Electronics, vol. 73, no. 2, pp. 3304-3315, 2026.
[10]
Y. Wang et al., "Distributed estimation with quantized measurements and communication over Markovian switching topologies," Automatica, vol. 183, 2026.
[11]
H. Taghavian, F. Dörfler and M. Johansson, "Optimal control of continuous-time symmetric systems with unknown dynamics and noisy measurements," Automatica, vol. 183, 2026.
[12]
X. Wang et al., "Distributed safety-critical control of nonlinear multi-agent systems," Automatica, vol. 183, 2026.
[13]
T. Han et al., "A compensation-oriented algorithm for difference-driven identification under binary-valued observations and data packet dropout," Automatica, vol. 183, 2026.
[14]
P. Zhou et al., "Nature-inspired dynamic control for pursuit-evasion of robots," Automatica, vol. 183, 2026.
[15]
Y. Li et al., "Parallel Model Predictive Control for Deterministic Systems," IEEE Transactions on Automatic Control, vol. 71, no. 2, pp. 1255-1262, 2026.
[16]
Y. Yi et al., "Efficient Algorithms for Dynamic Curing and Network Design in SIS Epidemic Processes," IEEE Transactions on Network Science and Engineering, vol. 13, pp. 1472-1484, 2026.
[17]
K. C. Sou, S. Z. Khong and H. Sandberg, "Real-time Worst-Case Load Flow for Distribution Systems with Power Injection Uncertainties," IEEE Transactions on Power Systems, vol. 41, no. 1, pp. 124-141, 2026.
[18]
W. Huo et al., "Federated Cubic Regularized Newton Learning with sparsification-amplified differential privacy," Automatica, vol. 183, 2026.
[19]
F. Chen et al., "Assessment, Cause Localization, and Mitigation for Small-Signal Stability Risks in Multi-Parallel Grid-Forming Converter Systems," IEEE Transactions on Smart Grid, vol. 16, no. 6, pp. 5128-5143, 2025.
[20]
J. Hu, J. Zhang and K. Deng, "Achieving Local Consensus Over Compact Submanifolds," IEEE Transactions on Automatic Control, vol. 70, no. 9, pp. 5750-5763, 2025.
[21]
S. Hall et al., "Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees," IEEE Transactions on Power Systems, 2025.
[22]
G. Marchesini et al., "A Communication Consistent Approach to Signal Temporal Logic Task Decomposition in Multi-Agent Systems," IEEE Transactions on Automatic Control, 2025.
[23]
X. Tan et al., "A Continuous-Time Violation-Free Multiagent Optimization Algorithm and Its Applications to Safe Distributed Control," IEEE Transactions on Automatic Control, vol. 70, no. 8, pp. 5114-5128, 2025.
[24]
K. Cao et al., "A Differential Dynamic Programming Framework for Inverse Reinforcement Learning," IEEE Transactions on robotics, vol. 41, pp. 6267-6286, 2025.
[25]
J. Jin et al., "Cloud-Fog Automation : The New Paradigm Toward Autonomous Industrial Cyber-Physical Systems," IEEE Journal on Selected Areas in Communications, vol. 43, no. 9, pp. 2917-2937, 2025.
[26]
Z. Wang et al., "Asymmetric Learning in Convex Games," IEEE Transactions on Automatic Control, 2025.
[27]
G. Carnevale et al., "ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks," IEEE Transactions on Automatic Control, vol. 70, no. 8, pp. 5160-5175, 2025.
[28]
M. Sadeghian, A. Lozano and G. Fodor, "Beamforming Saturation in Two-Timescale RIS-Assisted Communication," in SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings, 2025.
[29]
A. Fontan et al., "A systems perspective on promoting sustainable food systems," Annual Reviews in Control, vol. 60, pp. 101020, 2025.
[30]
G. Marchesini, "Communication-Aware Coordination of Multi-Agent Systems under Spatio-Temporal Constraints," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:82, 2025.
[31]
M. A. Seyfi et al., "Analyzing crash injury severities with deep learning and advanced statistical models : An assessment of methodological challenges," Analytic Methods in Accident Research, vol. 48, 2025.
[32]
J. Equi and G. Fodor, "A G-MUSIC Algorithm for Angle-of-Arrival Estimation in ISAC Networks," in 2025 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2025, 2025.
[33]
N. N. Chung et al., "A demonstration on the construction of modular neural network using elevator system that operates based on reinforcement learning," Journal of Computational Science, vol. 91, 2025.
[34]
L. F. Wu et al., "Airborne Underwater Vehicle Recovery System: Eagle-Inspired Trajectory Generation and Control for UAV-Assisted Recovery of AUVs," IEEE Access, vol. 13, pp. 149087-149099, 2025.
[35]
K. Kowalczyk et al., "Compensating Latent Nonlinear Dynamics for Practical Consensus Control," in Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, 2025, pp. 2585-2587.
[36]
N. De Carli and D. V. Dimarogonas, "A Distributed Kalman-like Observer with Dynamic Inversion-Based Correction for Multi-Agent Estimation," IEEE Control Systems Letters, vol. 9, pp. 523-528, 2025.
[37]
Y. Wang et al., "Achieving the Social Optimum in a Nonconvex Cooperative Aggregative Game : A Distributed Stochastic Annealing Approach," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 5, pp. 9709-9716, 2025.
[38]
A. Miksits, "Communication and Control Co-Design with Data-Driven Safety Guarantees for Networked Robots," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:34, 2025.
[39]
U. Casti et al., "A control theoretical approach to online constrained optimization," Automatica, vol. 176, 2025.
[40]
J. Parsa, C. R. Rojas and H. Hjalmarsson, "Balancing Application Relevant and Sparsity Revealing Excitation in Input Design," IEEE Transactions on Automatic Control, vol. 70, no. 3, pp. 1890-1897, 2025.
[41]
S. Fodor et al., "Bistatic Integrated Sensing and Communication Scenarios with Transmitter and Receiver-Side Trade-Offs," in 2025 IEEE 5th International Symposium on Joint Communications and Sensing, JC and S 2025, 2025.
[42]
T. Bai et al., "A third-party platoon coordination service : Pricing under government subsidies," Asian Journal of Control, vol. 27, no. 1, pp. 13-26, 2025.
[43]
S. Lindståhl, "Adaptive Measurement Strategies for Network Optimization and Control," Doctoral thesis Stockholm, Sweden : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2025:20, 2025.
[44]
A. M. Karimi Mamaghan, "Bayesian Causal Discovery and Object-Centric Representations : Challenges and Insights in Structured Learning," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:19, 2025.
[45]
F. Chen et al., "An Extended Frequency-Domain Passivity Theory for MIMO Dynamics Specifications of Voltage-Source Inverters," IEEE transactions on power electronics, vol. 40, no. 2, pp. 2943-2957, 2025.
[46]
D. Gürgünoğlu, "Channel Estimation and Interference Mitigation for Reconfigurable Intelligent Surfaces," Doctoral thesis Stockholm : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2025:8, 2025.
[47]
J. Zhang et al., "Byzantine-Robust and Communication-Efficient Personalized Federated Learning," IEEE Transactions on Signal Processing, vol. 73, pp. 26-39, 2025.
[48]
Y. Gao et al., "Adaptive Task Planning and Formal Control Synthesis Using Temporal Logic Trees," in Real Time and Such : Essays Dedicated to Wang Yi to Celebrate His Scientific Career, Susanne Graf, Paul Pettersson, Bernhard Steffen Ed., : Springer Nature, 2025, pp. 64-78.
[49]
O. Stenhammar et al., "Clustering of Geographical Segments for Predictive Quality of Service of Connected Vehicles," IEEE Transactions on Vehicular Technology, vol. 74, no. 11, pp. 18049-18064, 2025.
[50]
O. Stenhammar, G. Fodor and C. Fischione, "AI-aided Channel Prediction," in Artificial Intelligence for Future Networks, Mohammad A. Matin, Sotirios K. Goudos, George K. Karagiannidis Ed., : Wiley, 2025.
Full list in the KTH publications portal