{"title":"Performance guaranteed prescribed-time control of nonlinear strict-feedback systems with non-vanishing uncertainties","authors":"Yunfei Dai, Chao Wang, Yue Xie, X. Li, Yujuan Wang, Qing Chen","doi":"10.1109/ISAS59543.2023.10164625","DOIUrl":null,"url":null,"abstract":"This paper addresses the global finite-time tracking control problem for nonlinear strict-feedback systems with non-vanishing uncertainties and arbitrary initial conditions. The objective is to establish a control framework that guarantees system performance throughout the control process. To achieve finite-time convergence of tracking errors and guaranteed performance, a new performance function is proposed. To ensure global transient and steady-state performance, a time-varying scaling transformation method is employed. Under the proposed control method, the output tracking error is ensured to converge to a neighborhood of the origin of the preassigned size within a prescribed time at a pre-specified convergence rate. Additionally, global uniform ultimate boundedness is ensured for all signals in the closed-loop systems. Simulation examples validate the effectiveness and benefits of the proposed approach.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAS59543.2023.10164625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper addresses the global finite-time tracking control problem for nonlinear strict-feedback systems with non-vanishing uncertainties and arbitrary initial conditions. The objective is to establish a control framework that guarantees system performance throughout the control process. To achieve finite-time convergence of tracking errors and guaranteed performance, a new performance function is proposed. To ensure global transient and steady-state performance, a time-varying scaling transformation method is employed. Under the proposed control method, the output tracking error is ensured to converge to a neighborhood of the origin of the preassigned size within a prescribed time at a pre-specified convergence rate. Additionally, global uniform ultimate boundedness is ensured for all signals in the closed-loop systems. Simulation examples validate the effectiveness and benefits of the proposed approach.