5 papers
Safe Learning Control with Optimality and Stability Guarantees
Xinyang Wang, Hongwei Zhang, Shimin Wang +2
Merely pursuing performance may adversely affect safety, while a conservative policy for safe exploration will degrade the performance. How to guarantee both safety and performance…
Disturbance rejection control barrier functions
Xinyang Wang, Wei Xiao, Hongwei Zhang
Most existing robust control barrier functions (CBFs) can only handle matched disturbances, restricting their applications in real-world scenarios. While some recent advances exten…
Reinforcement learning in pursuit-evasion differential game: safety, stability and robustness
Xinyang Wang, Hongwei Zhang, Jun Xu +2
Safety and stability are two critical concerns in pursuit-evasion (PE) problems in an obstacle-rich environment. Most existing works combine control barrier functions (CBFs) and re…
Learning-Based Tracking Perimeter Control for Two-region Macroscopic Traffic Dynamics
Can Chen, Yunping Huang, Hongwei Zhang +4
Leveraging the concept of the macroscopic fundamental diagram (MFD), perimeter control can alleviate network-level congestion by identifying critical intersections and regulating t…
Strategic learning for disturbance rejection in multi-agent systems: Nash and Minmax in graphical games
Xinyang Wang, Martin Guay, Shimin Wang +1
This article investigates the optimal control problem with disturbance rejection for discrete-time multi-agent systems under cooperative and non-cooperative graphical games framewo…