{"title":"Event-triggered control of nonlinear systems: A small-gain paradigm","authors":"Zhong-Ping Jiang, Tengfei Liu, Pengpeng Zhang","doi":"10.1109/ICCA.2017.8003067","DOIUrl":null,"url":null,"abstract":"This paper presents a review on the nonlinear small-gain approach to event-triggered control of nonlinear systems. First, this paper shows the basic idea of applying the nonlinear small-gain theorem to event-triggered control of nonlinear systems with full state-feedback. Second, the result for the case of full state feedback is extended to systems with partial state and output feedback, by introducing a dynamic event-triggering mechanism. Third, an estimation mechanism is employed to estimate the influence of unmeasurable state and external disturbance, and the estimate is used to trigger the sampling events.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE International Conference on Control & Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2017.8003067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper presents a review on the nonlinear small-gain approach to event-triggered control of nonlinear systems. First, this paper shows the basic idea of applying the nonlinear small-gain theorem to event-triggered control of nonlinear systems with full state-feedback. Second, the result for the case of full state feedback is extended to systems with partial state and output feedback, by introducing a dynamic event-triggering mechanism. Third, an estimation mechanism is employed to estimate the influence of unmeasurable state and external disturbance, and the estimate is used to trigger the sampling events.