{"title":"Quantized feedback control based on event-triggered observer","authors":"Lun Wang, Y. Fan, Yang Zhang, C. Song","doi":"10.1109/YAC.2018.8406412","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a quantized feedback control approach based on event-triggered observer. First, according to the characteristics of event-triggering mechanism and observer, an event-triggered observer is put forward to estimate the unmeasured states. Next, we introduce quantizer and controller to quantify data and construct closed-loop system respectively. In this framework, besides the observer, quantizer and controller are only updated at the event-triggered sampling instants so that it can reduce the computational effort and sampling frequency. Moreover, the condition in terms of linear matrix inequalities is provided to ensure the closed-loop system as well as the observer error system and quantization error system asymptotic stability under the event-triggered strategy. Finally, the simulation example is given to illustrate the proposed method.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2018.8406412","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
In this paper, we propose a quantized feedback control approach based on event-triggered observer. First, according to the characteristics of event-triggering mechanism and observer, an event-triggered observer is put forward to estimate the unmeasured states. Next, we introduce quantizer and controller to quantify data and construct closed-loop system respectively. In this framework, besides the observer, quantizer and controller are only updated at the event-triggered sampling instants so that it can reduce the computational effort and sampling frequency. Moreover, the condition in terms of linear matrix inequalities is provided to ensure the closed-loop system as well as the observer error system and quantization error system asymptotic stability under the event-triggered strategy. Finally, the simulation example is given to illustrate the proposed method.