{"title":"执行器饱和时多智能体系统的脉冲局部领导-跟随一致性及吸引域估计","authors":"Xiaoxiao Lv, Jinde Cao","doi":"10.1109/ICIST52614.2021.9440653","DOIUrl":null,"url":null,"abstract":"Under the distributed impulsive control with actuator saturation, the local leader-following consensus problem of linear multi-agent systems with fixed topology is considered in this paper. Based on Lyapunov stability theory, average impulsive interval method and contradiction approach, a developed sufficient condition is obtained. In addition, optimization problem constrained by local leader-following consensus criterion is established in the form of linear matrix inequalities, and solved them by YALMIP to obtain the largest domain of attraction. Finally, a numerical example is proposed to demonstrate the feasibility of the obtained results.","PeriodicalId":371599,"journal":{"name":"2021 11th International Conference on Information Science and Technology (ICIST)","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impulsive Local Leader-following Consensus and Estimation of Domain of Attraction of Multi-agent Systems with Actuator Saturation\",\"authors\":\"Xiaoxiao Lv, Jinde Cao\",\"doi\":\"10.1109/ICIST52614.2021.9440653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the distributed impulsive control with actuator saturation, the local leader-following consensus problem of linear multi-agent systems with fixed topology is considered in this paper. Based on Lyapunov stability theory, average impulsive interval method and contradiction approach, a developed sufficient condition is obtained. In addition, optimization problem constrained by local leader-following consensus criterion is established in the form of linear matrix inequalities, and solved them by YALMIP to obtain the largest domain of attraction. Finally, a numerical example is proposed to demonstrate the feasibility of the obtained results.\",\"PeriodicalId\":371599,\"journal\":{\"name\":\"2021 11th International Conference on Information Science and Technology (ICIST)\",\"volume\":\"9 2 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/ICIST52614.2021.9440653\",\"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/ICIST52614.2021.9440653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impulsive Local Leader-following Consensus and Estimation of Domain of Attraction of Multi-agent Systems with Actuator Saturation
Under the distributed impulsive control with actuator saturation, the local leader-following consensus problem of linear multi-agent systems with fixed topology is considered in this paper. Based on Lyapunov stability theory, average impulsive interval method and contradiction approach, a developed sufficient condition is obtained. In addition, optimization problem constrained by local leader-following consensus criterion is established in the form of linear matrix inequalities, and solved them by YALMIP to obtain the largest domain of attraction. Finally, a numerical example is proposed to demonstrate the feasibility of the obtained results.