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In this article, the adaptive learning method of the radial basic function neural network is used on the variable structure sliding mode control of underwater robot to estimate and approach the upper bound of the uncertainty and disturbance induced by hydrodynamics. With this study method, the difficulties of establishment and resolving of precision dynamic model of underwater robot can be avoided...
This paper deals with a variable structure sliding mode control of ROV (remotely operated vehicle), with which the adaptive learning of the RBF neural network is used to estimate and approach the upper bound of the uncertainty and disturbance induced by hydrodynamics so as to avoid the difficulties of establishment and resolving of precision dynamic model. According the description and setting up...
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