ADP‐based robust consensus for multi‐agent systems with unknown dynamics and random uncertain channels

Author:

Xiong Chunping1ORCID,Ma Qian1ORCID,Zhou Guopeng23

Affiliation:

1. School of Automation Nanjing University of Science and Technology Nanjing China

2. School of Mechanical Engineering & Automation Wuhan Textile University Wuhan China

3. Department of Research and Development Hubei Xiangcheng Institute of Intelligent Mechatronics Xianning China

Abstract

AbstractThis article pursues the robust consensus for linear discrete‐time multi‐agent systems with unknown dynamics and random uncertain channels. Stochastic multiplicative uncertainties depending on relative states of agents inevitably appear in the signal transmission channels. To handle these uncertainties, the distributed robust controllers are designed. Before designing this robust controller, the optimal control problem of a single‐agent system is considered first. Based on the technology of adaptive dynamic programming, a model‐free off‐policy algorithm is proposed to solve the optimal controller for every agent with fully unknown system dynamics. According to the theory of mean square stability, it is revealed that the distributed robust controller can be obtained by using the optimal controller of the single‐agent system and other related parameters without relying on the dynamic information of the systems. Besides, the relationship between uncertainty and the robust controller is described by a sufficient condition. Finally, to demonstrate the effectiveness of the theoretical analysis, a numerical example is presented.

Funder

Science and Technology Program of Hubei Province

National Natural Science Foundation of China

Publisher

Wiley

Reference32 articles.

1. Game theoretical analysis on capacity configuration for microgrid based on multi‐agent system;Jin S;Int J Electr Power Energy Syst,2021

2. Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

3. A new multi‐agent feature wrapper machine learning approach for heart disease diagnosis;Elhoseny M;Comput, Mater Contin,2021

4. Fully distributed consensus control for a class of disturbed second‐order multi‐agent systems with directed networks;Wang H;Automatica,2021

5. Distributed fixed‐time consensus for nonlinear heterogeneous multi‐agent systems;Du H;Automatica,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3