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非线性时滞系统的稳定自适应控制

任雪梅

智能系统学报2007,Vol.2Issue(5):84-90,7.
智能系统学报2007,Vol.2Issue(5):84-90,7.

非线性时滞系统的稳定自适应控制

Stable adaptive neural network control of nonlinear time delay systems

任雪梅1

作者信息

  • 1. 北京理工大学,信息科学技术学院,北京,100081
  • 折叠

摘要

Abstract

In this paper a new adaptive neural network controller is presented for a class of continuous-time nonlinear time delay systems subject to modeling uncertainty.The neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems.An adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions.Stability of the closed-loop system is proved by the Lyapunov method.The effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor.

关键词

自适应控制/时滞系统/神经网络/系统辨识

Key words

adaptive control/time delay systems/neural networks/system identification

分类

信息技术与安全科学

引用本文复制引用

任雪梅..非线性时滞系统的稳定自适应控制[J].智能系统学报,2007,2(5):84-90,7.

基金项目

National Natural Science Foundation of China(60474033). (60474033)

智能系统学报

1673-4785

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