6 papers
Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
Chao Sun, Huiming Zhang, Bo Chen +3
This paper studies the Nash equilibrium seeking problem for stochastic games under heavy-tailed noise. The gradient noise is considered to have a finite -th moment (…
A safety governor for learning explicit MPC controllers from data
Anjie Mao, Zheming Wang, Hao Gu +2
We tackle neural networks (NNs) to approximate model predictive control (MPC) laws. We propose a novel learning-based explicit MPC structure, which is reformulated into a dual-mode…
Distributed Stochastic Optimization under Heavy-Tailed Noises
Chao Sun, Huiming Zhang, Bo Chen +1
This paper studies the distributed optimization problem under the influence of heavy-tailed gradient noises. Here, a heavy-tailed noise means that the noise does not necessarily sa…
Covariance-Intersection-based Distributed Kalman Filtering: Stability Problems Revisited
Zhongyao Hu, Bo Chen, Chao Sun +1
This paper studies the stability of covariance-intersection (CI)-based distributed Kalman filtering in time-varying systems. For the general time-varying case, a relationship betwe…
Distributed Zonotopic Fusion Estimation for Multi-sensor Systems
Yuchen Zhang, Bo Chen, Zheming Wang +3
Fusion estimation is often used in multi-sensor systems to provide accurate state information which plays an important role in the design of efficient control and decision-making.…
Stability Analysis of Distributed Estimators for Large-Scale Interconnected Systems: Time-Varying and Time-Invariant Cases
Zhongyao Hu, Bo Chen, Jianzheng Wang +3
This paper studies a distributed estimation problem for time-varying/time-invariant large-scale interconnected systems (LISs). A fully distributed estimator is presented by recursi…