标题:A back propagation neural network sliding mode controller for ship course nonlinear system
作者:Xiao, Hai-Rong ;Li, Yi-Bin ;Zhou, Feng-Yu ;Han, Yaozhen
通讯作者:Xiao, HR
作者机构:[Xiao, Hai-Rong ;Li, Yi-Bin ;Zhou, Feng-Yu ] School of Control Science and Engineering, Shandong University, Jinan 250061, China;[Xiao, Hai-Rong ;Han, 更多
会议名称:2011 International Conference on Electric and Electronics, EEIC 2011
会议日期:20 June 2011 through 22 June 2011
来源:Lecture Notes in Electrical Engineering
出版年:2011
卷:99 LNEE
期:VOL. 3
页码:503-510
DOI:10.1007/978-3-642-21747-0_63
关键词:Back propagation network; Reaching law; Ship course nonlinear; Sliding mode control
摘要:A back propagation network sliding mode variable structure control method is proposed for ship course nonlinear control. Neural network is used to simulate the functional relation between state hyperplane of the system and the exponential reaching law. A hyperbolic tangent function is applied to replace the saturation function to realize the boundary method of sliding mode control. Chattering is greatly reduced and simulation results demonstrate the presented control method has good adaptability and high robustness. © Springer-Verlag Berlin Heidelberg 2011.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863080372&doi=10.1007%2f978-3-642-21747-0_63&partnerID=40&md5=3ba9e15bb919109945ab3bc71590c285
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