Controller Design for Nonlinear Systems with Stochastic Time Delays Using Neural Networks and Information Entropy
نویسندگان
چکیده
In this paper, a novel controller is proposed for discrete-time nonlinear systems with uncertain output-channel time delays using RBF neural networks and information entropy. The controller is designed by minimizing the quadratic Renyi entropy. The probability density function (PDF) of tracking error is estimated by Parzen windowing technique. The Jacobian information is estimated by an RBF neural network. The convergent condition of the proposed control algorithm is given. A simulation example is given to show the effectiveness of the proposed algorithm.
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