5 papers
On Optimal Event-Triggered Distributed Control for Stochastic Multi-Agent Systems via Reinforcement Learning
Ziming Wang, Bingbing Li, Karl H. Johansson +1
We propose a reinforcement learning (RL) based optimal distributed control algorithm for the multi-agent systems (MASs) with stochastic uncertainties. Unlike existing methods, duri…
Cooperative Switched Formation Control of Autonomous Vehicles: An Event-triggered Approach to Input Saturation and Time-delay Challenges
Ziming Wang, Guanxuan Jiang, Yihuai Zhang +2
This paper presents a collaborative adaptive formation control framework for autonomous vehicles (AVs), that explicitly handles system uncertainties, input saturation, and communic…
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2
This paper proposes a safe data-driven control framework for nonlinear systems with partially known dynamics. The method ensures stability and constraint satisfaction during online…
Quantifying Security for Networked Control Systems: A Review
Sribalaji C. Anand, Anh Tung Nguyen, André M. H. Teixeira +2
Networked Control Systems (NCSs) are integral in critical infrastructures such as power grids, transportation networks, and production systems. Ensuring the resilient operation of…
Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling
Zishuo Li, Anh Tung Nguyen, André M. H. Teixeira +2
This paper addresses the secure state estimation problem for continuous linear time-invariant systems with non-periodic and asynchronous sampled measurements, where the sensors nee…