{"title":"Fixed-Time Control Lyapunov Function for Networked Non-Linear Uncertain Systems","authors":"Yi Dong, Zhiyong Chen","doi":"10.1002/rnc.7868","DOIUrl":null,"url":null,"abstract":"<p>This paper introduces a novel tool based on Lyapunov functions, aimed at analyzing the fixed-time property of networked non-linear uncertain systems while incorporating a specifically designed control law. The applicability of this tool is demonstrated by addressing the fixed-time synchronization challenge within non-linear uncertain multi-agent systems (MASs) operating in a leader-following scenario. In this scenario, the desired trajectory stems from a general non-linear system, and a two-part solution is presented. Both segments of the solution leverage the innovative Lyapunov function-based tool. The first component entails a fixed-time non-linear state feedback observer, engineered to estimate the leader system's state within a directed communication network. The second component offers a fixed-time control law, designed to regulate the trajectories of the agents. This paper explores two categories of non-linear agents with first-order and second-order dynamics, taking into account parametric uncertainties.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3598-3609"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7868","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7868","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a novel tool based on Lyapunov functions, aimed at analyzing the fixed-time property of networked non-linear uncertain systems while incorporating a specifically designed control law. The applicability of this tool is demonstrated by addressing the fixed-time synchronization challenge within non-linear uncertain multi-agent systems (MASs) operating in a leader-following scenario. In this scenario, the desired trajectory stems from a general non-linear system, and a two-part solution is presented. Both segments of the solution leverage the innovative Lyapunov function-based tool. The first component entails a fixed-time non-linear state feedback observer, engineered to estimate the leader system's state within a directed communication network. The second component offers a fixed-time control law, designed to regulate the trajectories of the agents. This paper explores two categories of non-linear agents with first-order and second-order dynamics, taking into account parametric uncertainties.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.