{"title":"RBFNN Siding Mode Control Based on Semi-Physical Simulation Platform","authors":"Peng Yang, Pinjie Liu, Yan Zhang, Xiaolei Wang","doi":"10.1109/WKDD.2008.73","DOIUrl":null,"url":null,"abstract":"Based on MATLAB RTW semi-physical simulation platform, a siding mode control algorithm is presented for a kind of uncertain time-delay system. Through a particular linear transformation, the original uncertain time-delay system was first transformed into a delay-free system. Based on the transformed system, a design method of optimal sliding mode with a quadratic performance index minimized was proposed. An appropriate control law which is approached by a RBFN and the weight of the network is tuned on line using adaptive algorithm to force the system states to reach the sliding manifold in finite time. Simulation results show the efficiency and superiority of the proposed method.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2008.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Based on MATLAB RTW semi-physical simulation platform, a siding mode control algorithm is presented for a kind of uncertain time-delay system. Through a particular linear transformation, the original uncertain time-delay system was first transformed into a delay-free system. Based on the transformed system, a design method of optimal sliding mode with a quadratic performance index minimized was proposed. An appropriate control law which is approached by a RBFN and the weight of the network is tuned on line using adaptive algorithm to force the system states to reach the sliding manifold in finite time. Simulation results show the efficiency and superiority of the proposed method.