一类不确定非线性系统基于神经网络的自适应控制<sup>*</sup>

慕小武; 张怀宙

一类不确定非线性系统基于神经网络的自适应控制^*

慕小武¹,
张怀宙²

1.
郑州大学, 郑州 450052;
2.
中科院系统科学研究所, 北京 100080

基金项目: * 国家自然科学青年基金;河南省自然科学基金

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- 被引次数: 0
出版历程
- 收稿日期: 1996-03-30
- 刊出日期: 1997-01-15

Neural Network-Based Adaptive Control of a Class of Uncertain Nonlinear System

Mu Xiaowu¹,
Zhang Huaizhou²

1.
Zhengzhou University, Zhengzhou 450052, P. R. China;
2.
Institute of Systems Science, Sinica Academic, Beijing 100080, P. R. China

摘要

摘要: 本文将非线性系统的几何方法与神经网络理论相结合,并利用变结构控制思想,研究了一类不确定系统的全局跟踪问题.
- 神经网络 /
- 自适应控制
Abstract: For a class of nonlinear systems which can be transformed into the canonical form, an adaptive control scheme based on Gaussian radial basis function networks was proposed in [9].In this paper,the idea in [5,10] which was combined to discuss has adaptive control of a more general class of uncertain nonlinear systems.
- neural network /
- adaptive control

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参考文献(11)

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[2]	S. S. Sastry and A, Isidori, Adaptive control of linearizable systems, IEEE. Trans. Auto.Contr., 34, 11 (1989).
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[8]	C. C. Liu and F. C. Chen, Adaptive control of nonlinear continuoustime systems usingneural networks-general ralative degree and MIMO cases, Int Contr., 58, 2 (1993).
[9]	R. Sanner and J. J. E. Slotine, Stable adaptive control and recursive identification usingradial gaussian networks, Proc. 3oth IEEE. C. D. C. (1991).
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