Aperiodic sampled‐data consensus control for homogeneous and heterogeneous multi‐agent systems: A looped‐functional method

Author:

Peng Xiao‐Jie123ORCID,He Yong123ORCID

Affiliation:

1. School of Automation China University of Geosciences Wuhan China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

3. Engineering Research Center of Intelligent Technology for Geo‐Exploration Ministry of Education Wuhan China

Abstract

AbstractThis paper examines the aperiodic sampled‐data consensus control problems for nonlinear homogeneous and heterogeneous multi‐agent systems (MASs). For homogeneous MASs, the consensus conditions, with and without time delays are derived by using a two‐sided‐looped functional. This less conservative approach takes full account of the information on the intervals to and to . On this basis, two aperiodic sampled‐data controllers are designed, and additional results on the estimate for the upper bound of the maximum allowable sampling interval are given as well. For heterogeneous MASs, the bounded consensus tracking criterion is derived based on the improved looped functional method. In addition, a corresponding heterogeneous sampled‐data controller is designed for each follower to ensure that the consensus tracking error exponentially converges to a bounded ellipsoid region. Finally, three illustrative examples are provided to show the efficiency and superiority of the proposed results.

Funder

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

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

1. Efficient off‐policy Q‐learning for multi‐agent systems by solving dual games;International Journal of Robust and Nonlinear Control;2024-01-08

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