论文信息 - Neural control via Hopfield neural network

Neural control via Hopfield neural network

Adaptive control of a nonlinear time-variant system has been a dramatic problem attracting many scientists and engineers. As one part of the job of trying to solve the problem, a neural control method based on the Hopfield neural network (HNNMRAC) is presented in this paper. It achieves real-time control of practical plants. Theoretical problems are discussed and simulation results are given to shop the performance of this algorithm.<<ETX>>

Xu Wenli | Lu Jin | Han Zengjin

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