一种新的混合阶离散多智能体系统模块化编队跟踪控制

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS

Systems Science & Control Engineering Pub Date : 2022-05-27 DOI:10.1080/21642583.2022.2079021

Jun Zhao, Heng-jie Liu, Xingzhong Xiong, Guoping Liu, Hang Yang

{"title":"一种新的混合阶离散多智能体系统模块化编队跟踪控制","authors":"Jun Zhao, Heng-jie Liu, Xingzhong Xiong, Guoping Liu, Hang Yang","doi":"10.1080/21642583.2022.2079021","DOIUrl":null,"url":null,"abstract":"A modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Finally, the effectiveness of the proposed modularized output control protocol is verified by simulation examples.","PeriodicalId":46282,"journal":{"name":"Systems Science & Control Engineering","volume":"10 1","pages":"583 - 589"},"PeriodicalIF":3.2000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems\",\"authors\":\"Jun Zhao, Heng-jie Liu, Xingzhong Xiong, Guoping Liu, Hang Yang\",\"doi\":\"10.1080/21642583.2022.2079021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Finally, the effectiveness of the proposed modularized output control protocol is verified by simulation examples.\",\"PeriodicalId\":46282,\"journal\":{\"name\":\"Systems Science & Control Engineering\",\"volume\":\"10 1\",\"pages\":\"583 - 589\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2022-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems Science & Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/21642583.2022.2079021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Science & Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21642583.2022.2079021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 1

摘要

研究了混合阶多智能体系统的模块化输出编队跟踪控制。多智能体系统由一阶和二阶积分器组成。采用数学归纳法对其稳定性和编队跟踪性能进行了理论分析。最后，通过仿真实例验证了所提出的模块化输出控制协议的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A novel modularized formation tracking control for mixed-order discrete-time multi-agent systems

A modularized output formation tracking control for mixed-order multi-agent systems is investigated. The multi-agent systems are composed of first-order and second-order integrators. The stability and formation tracking performance are analysed theoretically by the mathematical induction method. Finally, the effectiveness of the proposed modularized output control protocol is verified by simulation examples.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-

CiteScore

9.50

自引率

2.40%

发文量

审稿时长

29 weeks

期刊介绍： Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory