Stability Analysis of a Tracking Control Using Neural Networks

李秀平; 靳蕃; 范俊波

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Stability Analysis of a Tracking Control Using Neural Networks

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- Stability Analysis of a Tracking Control Using Neural Networks
- Acta Electronica Sinica Issue 10, (1996)
- 作者机构：
  
  西南交通大学神经网络与信息技术研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1996
- 稿件说明：
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[1]李秀平,靳蕃,范俊波.一种基于神经网络跟踪控制的稳定性分析[J].电子学报,1996(10):51-56.

李秀平, 靳蕃, 范俊波. Stability Analysis of a Tracking Control Using Neural Networks[J]. Acta Electronica Sinica, 1996, (10).
[1]李秀平,靳蕃,范俊波.一种基于神经网络跟踪控制的稳定性分析[J].电子学报,1996(10):51-56. DOI：

李秀平, 靳蕃, 范俊波. Stability Analysis of a Tracking Control Using Neural Networks[J]. Acta Electronica Sinica, 1996, (10). DOI：

摘要

本文针对一种标准形式的未知非线性系统的输出跟踪控制构造了一种基于多层前馈神经网络的非线性学习控制系统，并利用ＢＰ学习算法训练好的神经网络构造了一个自适应输出跟踪控制结构，然后，证明了其闭环系统是稳定的，且其输出跟踪误差收敛于希望输出的δ－邻域。最后，用仿真实例证明了该方法是有效的。

Abstract

Multilayered neural networks are used to construct nonlinear learning control systems for a class of unknown nonlinear systems in a canonical form. An adaptive output tracking architecture is proposed using the three-layered neural networks which are trained by back-propagation algorithm. The closed-loop system is proved to be stable

with the output tracking error converging to the δ-neighbourhood of the origin.

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