{"title":"基于事件触发观测器的量化反馈控制","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":"{\"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}","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}
Quantized feedback control based on event-triggered observer
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.