{"title":"Fuzzy modeling and control for a nonlinear quadrotor under network environment","authors":"Fei Han, G. Feng, Yong Wang, Fan Zhou","doi":"10.1109/CYBER.2014.6917496","DOIUrl":null,"url":null,"abstract":"This paper considers the fuzzy modeling and H∞ state feedback control for network-based quadrotor under unreliable communication links, and there are delays and packet dropouts throughout the transmission. The nonlinear quadrotor in this paper is firstly approximated by a Takagi-Sugeno (T-S) fuzzy model. The network-induced delays and packet dropouts in both sensor-to-controller (S/C) and controller-to-actuator (C/A) channels are modeled in a unified framework. Then a fuzzy controller is designed so that the resulting closed-loop quadrotor system is asymptotically stable with guaranteed H∞ performance. Finally, a simulation is given to illustrated the procedure of the proposed approach.","PeriodicalId":183401,"journal":{"name":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBER.2014.6917496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper considers the fuzzy modeling and H∞ state feedback control for network-based quadrotor under unreliable communication links, and there are delays and packet dropouts throughout the transmission. The nonlinear quadrotor in this paper is firstly approximated by a Takagi-Sugeno (T-S) fuzzy model. The network-induced delays and packet dropouts in both sensor-to-controller (S/C) and controller-to-actuator (C/A) channels are modeled in a unified framework. Then a fuzzy controller is designed so that the resulting closed-loop quadrotor system is asymptotically stable with guaranteed H∞ performance. Finally, a simulation is given to illustrated the procedure of the proposed approach.