{"title":"Connectivity Preserving Consensus for Second-Order Heterogeneous MASs With Input Constraints","authors":"Lili Wang;Shiming Chen","doi":"10.1109/JSYST.2024.3403103","DOIUrl":null,"url":null,"abstract":"This article gives an investigation to the connectivity preserving consensus (CPC) issue for the second-order heterogeneous multiagent systems (MASs), which are constituted by linear and nonlinear subsystem. First, a consensus algorithm for the system without input constraints is proposed and some sufficient conditions for consensus are obtained. Due to the limited communication distance of each agent, the algorithm maintains network connectivity based on potential function techniques. Then, considering the linear and nonlinear subsystem with input constraints, respectively, the results indicate that as long as certain conditions are met, all agents can be guaranteed to achieve CPC. Furthermore, the proposed algorithm is extended to the entire system with input constraints. Five examples are provided to demonstrate efficiency of theoretical results.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 2","pages":"1471-1480"},"PeriodicalIF":4.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10549767/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This article gives an investigation to the connectivity preserving consensus (CPC) issue for the second-order heterogeneous multiagent systems (MASs), which are constituted by linear and nonlinear subsystem. First, a consensus algorithm for the system without input constraints is proposed and some sufficient conditions for consensus are obtained. Due to the limited communication distance of each agent, the algorithm maintains network connectivity based on potential function techniques. Then, considering the linear and nonlinear subsystem with input constraints, respectively, the results indicate that as long as certain conditions are met, all agents can be guaranteed to achieve CPC. Furthermore, the proposed algorithm is extended to the entire system with input constraints. Five examples are provided to demonstrate efficiency of theoretical results.
期刊介绍：
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.
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