{"title":"Finite-Time Stabilization of Linear Systems by Reduced-Order and Dual Observer-Based Bounded Time-Varying Output Feedback","authors":"Zhengxiao Peng, Kai Zhang, Bin Zhou","doi":"10.1002/rnc.8004","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article studies the finite-time stabilization of generally controllable and observable linear systems. By exploiting some key properties of the (dual) parametric Lyapunov equation, we design reduced-order and dual observer-based bounded time-varying output feedback, with the explicit time-varying parameters being offline designed, which achieve (prescribed) finite-time stabilization of linear systems. To reduce the regulating time, we propose a second method of solving the control gain parameters, which is solved offline with some scalar differential equations. Compared to the reduced-order observer-based time-varying output feedback, the dual observer-based time-varying output feedback has a smaller dimensionality if the system input dimension exceeds the output dimension. On the contrary, the reduced-order observer-based time-varying output feedback has lower dimensionality. The simulation of aerospace rendezvous systems verified the effectiveness and advantages of the proposed method.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5611-5628"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","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.8004","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 article studies the finite-time stabilization of generally controllable and observable linear systems. By exploiting some key properties of the (dual) parametric Lyapunov equation, we design reduced-order and dual observer-based bounded time-varying output feedback, with the explicit time-varying parameters being offline designed, which achieve (prescribed) finite-time stabilization of linear systems. To reduce the regulating time, we propose a second method of solving the control gain parameters, which is solved offline with some scalar differential equations. Compared to the reduced-order observer-based time-varying output feedback, the dual observer-based time-varying output feedback has a smaller dimensionality if the system input dimension exceeds the output dimension. On the contrary, the reduced-order observer-based time-varying output feedback has lower dimensionality. The simulation of aerospace rendezvous systems verified the effectiveness and advantages of the proposed method.
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.