{"title":"Distributed output-feedback leader-following consensus of nonlinear multiagent systems","authors":"Jixing Lv , Changhong Wang , Lihua Xie","doi":"10.1016/j.automatica.2025.112281","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the leader-following consensus problem of a class of strict-feedback nonlinear multiagent systems under undirected follower networks. The leader and the followers are subject to additive input and external disturbances, respectively. A hierarchical output-feedback strategy is proposed, which can be implemented in a fully distributed manner in the sense that neither the Laplacian matrix eigenvalues nor the leader’s input bound are required. Firstly, a novel fully distributed observer is introduced to reconstruct the leader’s state and unknown input in a user-prescribed finite time, requiring only the leader’s output to be available to its neighboring followers. Utilizing the estimated information, a local observer-based output-feedback control protocol is then designed to achieve the state consensus. Subsequently, the robustness of the strategy to measurement noise is analyzed. The proposed strategy advances existing output-feedback fully distributed results in two significant aspects: (1) it is suitable for the scenarios where the leader’s state/observer information is not available to any follower and only the leader’s output can be obtained by its neighboring followers; (2) the state consensus is achieved in a user-prescribed finite time. Finally, simulation results are provided to validate the efficacy of the proposed consensus approach.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112281"},"PeriodicalIF":4.8000,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825001736","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper addresses the leader-following consensus problem of a class of strict-feedback nonlinear multiagent systems under undirected follower networks. The leader and the followers are subject to additive input and external disturbances, respectively. A hierarchical output-feedback strategy is proposed, which can be implemented in a fully distributed manner in the sense that neither the Laplacian matrix eigenvalues nor the leader’s input bound are required. Firstly, a novel fully distributed observer is introduced to reconstruct the leader’s state and unknown input in a user-prescribed finite time, requiring only the leader’s output to be available to its neighboring followers. Utilizing the estimated information, a local observer-based output-feedback control protocol is then designed to achieve the state consensus. Subsequently, the robustness of the strategy to measurement noise is analyzed. The proposed strategy advances existing output-feedback fully distributed results in two significant aspects: (1) it is suitable for the scenarios where the leader’s state/observer information is not available to any follower and only the leader’s output can be obtained by its neighboring followers; (2) the state consensus is achieved in a user-prescribed finite time. Finally, simulation results are provided to validate the efficacy of the proposed consensus approach.
期刊介绍:
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