基于BP神经网络的非线性自适应控制研究

2018 10th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2018-07-01 DOI:10.1109/ICMIC.2018.8529873

Xin Liu, Sufang Wang, Weicun Zhang, Qing Li

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引用次数: 0

摘要

提出了一种基于BP神经网络的非线性系统自适应控制方法。利用BP神经网络对被控对象的未知非线性特性进行估计，然后用BP神经网络代替实部非线性，最后给出了控制器的设计。为了控制精度，增加了误差补偿。仿真结果表明了该方法的有效性。

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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Research of Nonlinear Adaptive Control Based on BP Neural Network

This paper presents an adaptive control method for a class of nonlinear system based on BP neural network. BP neural network is used to estimate unknown nonlinear characteristic in the plant, then using the BP instead of the real part nonlinear, at last the controller design is given. In order to control the precise, adding the error compensation. The simulation results show the effectiveness.

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来源期刊

2018 10th International Conference on Modelling, Identification and Control (ICMIC)

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