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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square* ' T. m5 E2 |1 ~ f* K
Chen Zengqiang, Lu Zhao & Yuan Zhtuzhi - R# l$ B% g7 o
Department of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China
) p; E7 M, b9 O* m% j(Received September 20, 1999) 0 r% T5 [' U" }$ f8 \2 d* a
9 I! E) Q9 A5 w q: g% f8 KAbstract: General neural network inverse adaptive controller haw two flaws: the first i the slow convergence speed; the second is the invalidation to the non-minimum phase mystem. Tbese defects limit the scope in which the neural network inverse adaptive controller is used. We employ Davidon least squares in training the multi-layer feedforward neural network used in approximating the invense model of plant to expedite the convergence, and then through constructing the pseudo-plant, a neural network inverse adaptive controller泅put forward which is stil efective to the nonlinear non-minimum phase system. The simulation reoults show the validity of this scheme.- I2 K/ x8 e& {
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Keywords: Neural network, Adaptive control, Davidon least squarea, Inverse control.
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发表于 2020-1-13 13:20
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