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J. Ocean Eng. Technol. 2004;18(2):33-38.    

An On-Line Adaptive Control of Underwater Vehicles Using Neural Network
Kim Myung-Hyun,Kang Sung-Won,Lee Jae-Myung
Department of Naval Architecture and Ocean Engineering Pusan National University,Department of Naval Architecture and Ocean Engineering Pusan National Universit,Department of Naval Architecture and Ocean Engineering Pusan National University
© 2004 The Korean Society of Ocean Engineers     Open access / Under a Creative Commons License
Keywords: Neural Network, Underwater Vehicles, Nonlinear Control, Gaussian Networks
Abstract
All adaptive neural network controller has been developed for a model of an underwater vehicle. This controller combines a radial basis neural network and sliding mode control techniques. No prior off-line training phase is required, and this scheme exploits the advantages of both neural network control and sliding mode control. An on-line stable adaptive law is derived using Lyapunov theory. The number of neurons and the width of Gaussian function should be chosen carefully. Performance of the controller is demonstrated through computer simulation.


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