{"title":"一类大规模随机时滞非线性系统的分散鲁棒自适应输出反馈控制","authors":"Qian Wang, Qiangde Wang, Zhengqiang Zhang, Chunling Wei","doi":"10.1109/DDCLS.2018.8516110","DOIUrl":null,"url":null,"abstract":"The paper solves the problem of decentralized robust adaptive output-feedback control for a class of large-scale stochastic time-delay nonlinear systems. Simulation results show that the closed-loop system is globally stable in probability and the output signals can converge to a small neighborhood of the origin in probability under some milder conditions.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"160-165"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Decentralized Robust Adaptive Output-Feedback Control for A Class of Large-Scale Stochastic Time-Delay Nonlinear Systems\",\"authors\":\"Qian Wang, Qiangde Wang, Zhengqiang Zhang, Chunling Wei\",\"doi\":\"10.1109/DDCLS.2018.8516110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper solves the problem of decentralized robust adaptive output-feedback control for a class of large-scale stochastic time-delay nonlinear systems. Simulation results show that the closed-loop system is globally stable in probability and the output signals can converge to a small neighborhood of the origin in probability under some milder conditions.\",\"PeriodicalId\":6565,\"journal\":{\"name\":\"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)\",\"volume\":\"1 1\",\"pages\":\"160-165\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2018.8516110\",\"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 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2018.8516110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized Robust Adaptive Output-Feedback Control for A Class of Large-Scale Stochastic Time-Delay Nonlinear Systems
The paper solves the problem of decentralized robust adaptive output-feedback control for a class of large-scale stochastic time-delay nonlinear systems. Simulation results show that the closed-loop system is globally stable in probability and the output signals can converge to a small neighborhood of the origin in probability under some milder conditions.