{"title":"Finite-Time Model-Based Event-Triggered Control of LTI Systems","authors":"Xuan-Zhi ZHU, Pedro Casau, C. Silvestre","doi":"10.1109/CDC45484.2021.9683572","DOIUrl":null,"url":null,"abstract":"In this paper, we design a model-based event-triggered controller for networked control of a linear time-invariant (LTI) system using a finite-time observer. Under the framework of hybrid dynamical systems, we show that, if the plant dynamics are detectable and stabilizable, then: 1) the zero error set is globally asymptotically stable and globally finite-time stable for the closed-loop system; 2) the closed-loop system is robust to small state perturbations; 3) the state of the plant converges to a neighborhood of the origin that can be made arbitrarily small; 4) the number of transmissions through the network is finite. We illustrate these results through numerical simulations.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 60th IEEE Conference on Decision and Control (CDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC45484.2021.9683572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we design a model-based event-triggered controller for networked control of a linear time-invariant (LTI) system using a finite-time observer. Under the framework of hybrid dynamical systems, we show that, if the plant dynamics are detectable and stabilizable, then: 1) the zero error set is globally asymptotically stable and globally finite-time stable for the closed-loop system; 2) the closed-loop system is robust to small state perturbations; 3) the state of the plant converges to a neighborhood of the origin that can be made arbitrarily small; 4) the number of transmissions through the network is finite. We illustrate these results through numerical simulations.