activity
20122022
most citedConsensus Seeking in Multi-Agent Systems with Multiplicative Measurement Noises

135 citations · 241 across the 29 of their papers we have counts for

collaborators

29 papers

math.OC2022★ 1 cited

Stochastic Linear Quadratic Optimal Control Problems with Random Coefficients and Markovian Regime Switching System

Jiaqiang Wen, Xun Li, Jie Xiong +1

This paper thoroughly investigates stochastic linear-quadratic optimal control problems with the Markovian regime switching system, where the coefficients of the state equation and…

math.OC2022

Distributed Q-Learning for Stochastic LQ Control with Unknown Uncertainty

Zhaorong Zhang, Juanjuan Xu, Xun Li

This paper studies a discrete-time stochastic control problem with linear quadratic criteria over an infinite-time horizon. We focus on a class of control systems whose system matr…

math.OC2020

Stochastic Linear Quadratic Optimal Control Problem: A Reinforcement Learning Method

Na Li, Xun Li, Jing Peng +1

This paper applies a reinforcement learning (RL) method to solve infinite horizon continuous-time stochastic linear quadratic problems, where drift and diffusion terms in the dynam…

math.OC2020

Optimal control and stablilization for linear continuous-time mean-field systems with delay

Xiao Ma, Qingyuan Qi, Xun Li +1

This paper studies optimal control and stabilization problems for continuous-time mean-field systems with input delay, which are the fundamental development of control and stabiliz…

math.OC2020

Optimal Control for Discrete-time NCSs with Input Delay and Markovian Packet Losses: Hold-Input Case

Hongdan Li, Xun Li, Huanshui Zhang

This paper is concerned with the linear quadratic optimal control problem for networked system simultaneously with input delay and Markovian dropout. Different from the results in…

math.OC2020

A stochastic maximum principle for partially observed stochastic control systems with delay

Shuaiqi Zhang, Xun Li, Jie Xiong

This paper deals with partially-observed optimal control problems for the state governed by stochastic differential equation with delay. We develop a stochastic maximum principle f…