{"title":"Adaptive neural network-based sliding mode control for nonlinear uncertain systems with time-varying delay","authors":"Juntao Li, Xinlei Li, Hongjun Wang, Wenlin Li","doi":"10.1109/ICICISYS.2010.5658746","DOIUrl":null,"url":null,"abstract":"This paper presents an adaptive-neural-network-based sliding mode control scheme for a class of nonlinear systems with unknown time-varying delay. Incorporating H∞ control technique and adaptive neural network method into sliding-mode control approach, adaptive sliding-mode controllers are designed for guaranteeing the H∞ performance of the closed-loop systems. One of the prominent advantages of the proposed scheme is that the nonlinear uncertainties are free of the matching condition and the linear boundary condition. Simulation results illustrate the obtained results.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2010.5658746","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
This paper presents an adaptive-neural-network-based sliding mode control scheme for a class of nonlinear systems with unknown time-varying delay. Incorporating H∞ control technique and adaptive neural network method into sliding-mode control approach, adaptive sliding-mode controllers are designed for guaranteeing the H∞ performance of the closed-loop systems. One of the prominent advantages of the proposed scheme is that the nonlinear uncertainties are free of the matching condition and the linear boundary condition. Simulation results illustrate the obtained results.