3 citations · 9 across the 14 of their papers we have counts for
14 papers
Relaxed Control with Entropy Regularization for Itô Stochastic Systems with Input Delay
Ruixue Li, Xun Li, Zhaorong Zhang +1
This paper investigates the infinite-horizon classical stochastic optimal control problem with input delay under an entropy-regularized relaxed control framework. In particular, by…
Distributed Algorithm for the Global Optimal Controller of Nonlinear Multi-Agent Systems
Ruixue Li, Wenjing Yang, Zhaorong Zhang +2
In this paper, we investigate the distributed optimal control problem for a kind of nonlinear multi-agent systems. In particular,both the state and the system dynamic structures of…
Distributed Load Frequency Control of Multi-Area Smart Grid
Wenjing Yang, Zhaorong Zhang, Xun Li +1
In this paper, we investigate the distributed load frequency control problem in a multi-area smart grid under external load disturbances and measurement noise. The novelty lies in…
OCP-GN: A Scalable Second-order Optimizer for Stochastic Optimization
Jindi Zhong, Congyaohui Yin, Zhaorong Zhang +1
This paper proposes a novel second-order optimization algorithm based on the Optimal Control Principle (OCP), applicable to large-scale optimization problems in neural network trai…
Distributed Solving of Linear Quadratic Optimal Controller with Terminal State Constraint
Wenjing Yang, Zhaorong Zhang, Juanjuan Xu
This paper is concerned with the linear quadratic (LQ) optimal control of continuous-time system with terminal state constraint. In particular, multiple agents exist in the system…
Reinforcement Learning for Stochastic LQ Control of Discrete-Time Systems with Multiplicative Noises
Hongdan Li, Lucky Qiaofeng Li, Xun Li +1
This paper considers a stochastic linear quadratic problem for discrete-time systems with multiplicative noises over an infinite horizon. To obtain the optimal solution, we propose…
Q-Learning for Linear Quadratic Optimal Control with Terminal State Constraint
Juanjuan Xu, Jingmei Liu, Zhaorong Zhang +1
This paper is concerned with the linear quadratic optimal control of discrete-time time-varying system with terminal state constraint. The main contribution is to propose a Q-learn…
Reinforcement Learning-Based Optimal Control for Multiplicative-Noise Systems with Input Delay
Hongxia Wang, Fuyu Zhao, Zhaorong Zhang +2
In this paper, the reinforcement learning (RL)-based optimal control problem is studied for multiplicative-noise systems, where input delay is involved and partial system dynamics…
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…
Convergence Rate of a Message-passing Algorithm for Solving Linear Systems
Zhaorong Zhang, Qianqian Cai, Minyue Fu
This paper studies the convergence rate of a message-passing distributed algorithm for solving a large-scale linear system. This problem is generalised from the celebrated Gaussian…
Distributed Weighted Least-squares Estimation for Networked Systems with Edge Measurements
Qiqi Yang, Zhaorong Zhang, Minyue Fu
This paper studies the problem of distributed weighted least-squares (WLS) estimation for an interconnected linear measurement network with additive noise. Two types of measurement…
A Fast Converging Distributed Solver for Linear Systems with Generalised Diagonal Dominance
Qianqian Cai, Zhaorong Zhang, Minyue Fu
This paper proposes a new distributed algorithm for solving linear systems associated with a sparse graph under a generalised diagonal dominance assumption. The algorithm runs iter…
Convergence of Message-Passing for Distributed Convex Optimisation with Scaled Diagonal Dominance
Zhaorong Zhang, Minyue Fu
This paper studies the convergence properties the well-known message-passing algorithm for convex optimisation. Under the assumption of pairwise separability and scaled diagonal do…
On Convergence Rate of the Gaussian Belief Propagation Algorithm for Markov Networks
Zhaorong Zhang, Minyue Fu
Gaussian Belief Propagation (BP) algorithm is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks. It is well k…