{"title":"Periodic event-triggered output feedback regulation for feedforward nonlinear systems with unknown measurement sensitivity","authors":"Wenjie Zhang, Qingrong Liu, Xianfu Zhang","doi":"10.1002/rnc.7551","DOIUrl":null,"url":null,"abstract":"<p>This article addresses the global regulation by periodic event-triggered output feedback control for a class of feedforward nonlinear systems. Particularly, the considered systems suffer from parameter uncertainties and unknown measurement sensitivity, which entail integrating advanced compensation strategies within the event-triggered framework. To this end, a time-varying gain is devised to tackle uncertain nonlinearities as well as the sampling error. Subsequently, a novel periodic event-triggered output feedback controller is constructed based on the delicate choice of design parameters. Notably, the proposed control scheme is able to avoid the continuous monitoring of the system behavior, and guarantee that all closed-loop system states are globally bounded and ultimately converge to zero. Finally, a practical example is given to illustrate the main results.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 16","pages":"10928-10940"},"PeriodicalIF":3.2000,"publicationDate":"2024-07-25","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.7551","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 addresses the global regulation by periodic event-triggered output feedback control for a class of feedforward nonlinear systems. Particularly, the considered systems suffer from parameter uncertainties and unknown measurement sensitivity, which entail integrating advanced compensation strategies within the event-triggered framework. To this end, a time-varying gain is devised to tackle uncertain nonlinearities as well as the sampling error. Subsequently, a novel periodic event-triggered output feedback controller is constructed based on the delicate choice of design parameters. Notably, the proposed control scheme is able to avoid the continuous monitoring of the system behavior, and guarantee that all closed-loop system states are globally bounded and ultimately converge to zero. Finally, a practical example is given to illustrate the main results.
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.