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带未知时变噪声系统的卡尔曼滤波算法研究

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发表于 2020-1-13 13:20 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式

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Neural Network Inverse Adaptive Controller Based or,Davidon Least Square*
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Chen Zengqiang, Lu Zhao & Yuan Zhtuzhi

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Department of Computer & System Science, Nankai Univeraity, Tianjin, 300071, P. R. China

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(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 2020-1-14 20:06 | 只看该作者
带未知时变噪声系统的卡尔曼滤波算法研究
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