{"title":"Tracking Control for Nonlinear Systems with Input Delay and Dead-Zone via Adaptive Fuzzy Backstepping Approach","authors":"Siwen Liu, Yanlong Zhang, Huanqing Wang","doi":"10.1109/ICACI52617.2021.9435912","DOIUrl":null,"url":null,"abstract":"In this paper, the tracking control problem is researched for nonlinear systems in the presence of the uncertain smooth functions, the strict-feedback form, input delay and input dead-zone. The problem of input delay and input dead-zone is handled by designing an improved auxiliary system. With the help of the adaptive backstepping control way and fuzzy logic systems (FLSs), an adaptive fuzzy control technique is presented, which makes the boundedness of all signals and ensures the output signal for the considered system track the preset reference signal. A practical example is presented to prove the effectiveness of the control technique proposed in this paper.","PeriodicalId":382483,"journal":{"name":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI52617.2021.9435912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the tracking control problem is researched for nonlinear systems in the presence of the uncertain smooth functions, the strict-feedback form, input delay and input dead-zone. The problem of input delay and input dead-zone is handled by designing an improved auxiliary system. With the help of the adaptive backstepping control way and fuzzy logic systems (FLSs), an adaptive fuzzy control technique is presented, which makes the boundedness of all signals and ensures the output signal for the considered system track the preset reference signal. A practical example is presented to prove the effectiveness of the control technique proposed in this paper.