{"title":"Neural network controller design for a class of nonlinear systems with unknown time delays","authors":"Shurong Li, Yun Hong","doi":"10.1109/ICMIC.2011.5973754","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive neural network controller was presented for a class of strict-feedback nonlinear systems with unknown time delays and input saturation. Based on the backstepping design technique, an adaptive controller was obtained by constructing an appropriate Lyapunov-Krasovskii functional. The saturation characteristic of the actuator was compensated by a compensator. It is proven that the semi-global uniformly ultimately boundedness of all the signals in the closed-loop systems was guaranteed. A simulation example was provided to illustrate the validity of the proposed approach.","PeriodicalId":210380,"journal":{"name":"Proceedings of 2011 International Conference on Modelling, Identification and Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Modelling, Identification and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIC.2011.5973754","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, an adaptive neural network controller was presented for a class of strict-feedback nonlinear systems with unknown time delays and input saturation. Based on the backstepping design technique, an adaptive controller was obtained by constructing an appropriate Lyapunov-Krasovskii functional. The saturation characteristic of the actuator was compensated by a compensator. It is proven that the semi-global uniformly ultimately boundedness of all the signals in the closed-loop systems was guaranteed. A simulation example was provided to illustrate the validity of the proposed approach.