非线性系统的模糊神经网络控制

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI:10.1109/AFSS.1996.583554

Ching-Hong Lee, C. Teng

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引用次数: 5

摘要

本文提出了一种用于控制单输入单输出非线性仿射系统的模糊神经网络。提出的模糊神经网络控制器对非线性控制系统进行反馈线性化。在非线性系统未知的情况下，采用基于模糊神经网络的状态反馈控制器来实现跟踪性能。

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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Control of nonlinear systems using a Fuzzy Neural Network

In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown.

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来源期刊

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

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