5 papers
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…
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…