1 citations · 2 across the 12 of their papers we have counts for
12 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…
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…
Intermittent Encryption Strategies for Anti-Eavesdropping Estimation
Zhongyao Hu, Bo Chen, Pindi Weng +2
In this paper, an anti-eavesdropping estimation problem is investigated. A linear encryption scheme is utilized, which first linearly transforms innovation via an encryption matrix…
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…
Remote State Estimation with Posterior-Based Stochastic Event-Triggered Schedule
Zhongyao Hu, Bo Chen, Rusheng Wang +1
This paper aims to study the state estimation problem under the stochastic event-triggered (SET) schedule. A posterior-based SET mechanism is proposed, which determines whether to…
Cross-Fusion Rule for Personalized Federated Learning
Wangzhuo Yang, Bo Chen, Yijun Shen +2
Data scarcity and heterogeneity pose significant performance challenges for personalized federated learning, and these challenges are mainly reflected in overfitting and low precis…
Learning stability of partially observed switched linear systems
Zheming Wang, Raphaël M. Jungers, Mihály Petreczky +2
This paper deals with learning stability of partially observed switched linear systems under arbitrary switching. Such systems are widely used to describe cyber-physical systems wh…
Secure Fusion Estimation Against FDI Sensor Attacks in Cyber-Physical Systems
Bo Chen, Pindi Weng, Daniel W. C. Ho +1
This paper is concerned with the problem of secure multi-sensors fusion estimation for cyber-physical systems, where sensor measurements may be tampered with by false data injectio…
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints
Rusheng Wang, Bo Chen, Zhongyao Hu +1
This paper studies the event-triggered distributed fusion estimation problems for a class of nonlinear networked multisensor fusion systems without noise statistical characteristic…