{"title":"基于命令滤波的全状态约束严格反馈非线性系统自适应控制","authors":"Sijia Fan, Min Ma, Tong Wang","doi":"10.1109/ICIST52614.2021.9440552","DOIUrl":null,"url":null,"abstract":"This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.","PeriodicalId":371599,"journal":{"name":"2021 11th International Conference on Information Science and Technology (ICIST)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints\",\"authors\":\"Sijia Fan, Min Ma, Tong Wang\",\"doi\":\"10.1109/ICIST52614.2021.9440552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.\",\"PeriodicalId\":371599,\"journal\":{\"name\":\"2021 11th International Conference on Information Science and Technology (ICIST)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 11th International Conference on Information Science and Technology (ICIST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST52614.2021.9440552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST52614.2021.9440552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints
This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.