{"title":"基于约束脉冲输入的动态网络镇定","authors":"Caiping Chen, Chuandong Li","doi":"10.1109/AIAIM.2019.8632782","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of exponential stabilization for dynamical networks with impulsive input constraints is investigated. Because of the existence of impulse input constraints, the analysis of impulsive control system is much varying from the constraint-free case. By means of matrix measure theory and convex analysis, we deduce the sufficient conditions for the locally exponential stabilization. An numerical example with simulations is provided to demonstrate the efficacy of the theoretical results.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stabilization of Dynamical Networks via Constrained Impulse Inputs\",\"authors\":\"Caiping Chen, Chuandong Li\",\"doi\":\"10.1109/AIAIM.2019.8632782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the problem of exponential stabilization for dynamical networks with impulsive input constraints is investigated. Because of the existence of impulse input constraints, the analysis of impulsive control system is much varying from the constraint-free case. By means of matrix measure theory and convex analysis, we deduce the sufficient conditions for the locally exponential stabilization. An numerical example with simulations is provided to demonstrate the efficacy of the theoretical results.\",\"PeriodicalId\":179068,\"journal\":{\"name\":\"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIAIM.2019.8632782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAIM.2019.8632782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stabilization of Dynamical Networks via Constrained Impulse Inputs
In this paper, the problem of exponential stabilization for dynamical networks with impulsive input constraints is investigated. Because of the existence of impulse input constraints, the analysis of impulsive control system is much varying from the constraint-free case. By means of matrix measure theory and convex analysis, we deduce the sufficient conditions for the locally exponential stabilization. An numerical example with simulations is provided to demonstrate the efficacy of the theoretical results.