Adaptive Control Schemes Based on Recurrent Trainable Neural Networks
نویسندگان
چکیده
Abstract: The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network. The applicability of the proposed control schemes is confirmed by simulation and experimental results, which exhibits a good convergence.
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تاریخ انتشار 2007