Nearly Optimal Consensus Control of Discrete Time Multiagent Systems with Time Delays

被引：0
|
作者：
Zhang, Yao [1 ]
Mu, Chaoxu [1 ]
Zhao, Qian [1 ]
Wang, Ke [1 ]
机构：
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
来源：
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Multiagent systems; neural networks; consensus control; adaptive dynamic programming; NONLINEAR-SYSTEMS; TOPOLOGY; GAMES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper researches the optimal consensus control of discrete time multiagent systems with time delays by applying the heuristic dynamic programming (HDP) iteration algorithm. It is known that the agent can only accept the message from itself and its neighboring agents. The communication among the agents is modeled by using the communication structure graph. The objective is to make all the followers track the desired leader. First, the discrete time multiagent systems with time delays are transformed into systems without time delays. Then the HDP algorithm is used to solve the multiagent consensus control problem. Neural networks are applied to approximate the performance index and the optimal control policy. At last, a simulation study is presented to verify the theoretical conclusion.
引用
收藏
页码：72 / 77
页数：6
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