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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square*
, l' e! @' ~2 _: FChen Zengqiang, Lu Zhao & Yuan Zhtuzhi * J9 `" q V% A2 @0 ?2 V: Z8 x
Department of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China - y4 r" b b' R% I# K
(Received September 20, 1999) 6 N" d9 k$ c6 O! m7 u' B
" ~7 _" A. f* T7 ~+ U$ D6 t+ N8 {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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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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