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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square*
0 j/ I/ a2 Z; _! U2 ?) B* [9 lChen Zengqiang, Lu Zhao & Yuan Zhtuzhi
7 M {7 Q9 ^. n" eDepartment of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China ! f2 O. g3 r2 z6 L. V
(Received September 20, 1999) ! [" S7 \. ?: z1 L% d! y' D8 ?; A( x
- c$ E* s- H: ]5 t- tAbstract: 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.2 _. y. d% n% l
) Z8 m( h' c8 f; V, Z. c5 T( {$ ?Keywords: Neural network, Adaptive control, Davidon least squarea, Inverse control.; Z9 g/ {2 h2 V: @7 V( Y
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发表于 2020-1-13 13:20
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