非线性运动系统的神经网络辨识

Proceedings of 4th IEEE International Workshop on Advanced Motion Control - AMC '96 - MIE Pub Date : 1996-03-18 DOI:10.1109/AMC.1996.509420

K. C. Sio, C.K. Lee

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引用次数: 9

摘要

本文研究了基于神经网络的系统辨识问题。讨论了静态前馈神经网络和单层实时递归神经网络在系统辨识中的不足。此外，还提出了一种改进的循环网络作为补救措施。推导和仿真验证了所提出的网络的有益特性。

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Identification of a nonlinear motor system with neural networks

In this paper, system identification with neural networks is studied. The insufficiency of a static feedforward neural network and a single-layer real-time recurrent neural network in system identification is discussed. Also, a modified recurrent network is proposed for a remedy. Derivations and simulations are provided to verify the beneficial properties of the proposed network.

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Proceedings of 4th IEEE International Workshop on Advanced Motion Control - AMC '96 - MIE

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