直接反馈控制的最小寻优神经网络

Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206) Pub Date : 2001-09-05 DOI:10.1109/ISIC.2001.971483

P. Peng, Youping Zhang

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引用次数: 0

摘要

本文提出了一种快速、鲁棒的神经网络控制器学习算法。学习方案是通过所提出的最小寻优方案找到最优权值。唯一需要的信息是系统输出测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Minimum seeking neural network for direct feedback control

This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement.

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Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)

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