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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square* 1 C7 v2 v# ~4 a' h0 y5 e4 G/ j _5 Z
Chen Zengqiang, Lu Zhao & Yuan Zhtuzhi
( V8 k8 _8 F. \* g* sDepartment of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China
; |1 u; J, n; A! J0 ~(Received September 20, 1999)
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Abstract: 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.
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8 s' A+ M! s" `1 m; GKeywords: Neural network, Adaptive control, Davidon least squarea, Inverse control.( w0 G# m0 q l$ e3 _
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发表于 2020-1-13 13:20
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