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Neural Network Inverse Adaptive Controller Based or，Davidon Least Square* 7 A* g, W5 |, \! R
Chen Zengqiang, Lu Zhao & Yuan Zhtuzhi
% S/ c6 m+ I& R: S' z, p. d+ q& NDepartment of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China
$ Q4 _9 U& M0 V, H" C7 ^0 ?(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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# V: q0 ^; G/ E+ NKeywords: Neural network, Adaptive control, Davidon least squarea, Inverse control.# T1 B$ t8 y- R, |4 Y
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发表于 2020-1-13 13:20
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