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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square* 2 l" r1 V9 \! w+ K1 ^* G; n
Chen Zengqiang, Lu Zhao & Yuan Zhtuzhi ( r* I8 U4 h8 W: q
Department of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China 3 j3 H9 r' y5 n1 @$ ]% Y6 a4 x
(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.9 y3 m" ~3 b6 |0 T5 W0 s4 ~
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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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