Identification and control of nonlinear systems using neural networks

Xuemei Ren; Weibing Gao

Identification and control of nonlinear systems using neural networks

Xuemei Ren^*
, Weibing Gao

^*此作品的通讯作者

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

In this paper we present an identification model constructed by static feedforward neural networks and stable filters for nonlinear dynamical systems. Adaptive identification and control schemes based on neural networks are shown to guarantee stability of the system, even in the presence of neural network approximation errors. Finally, sliding control is used to compensate for inherent network approximation errors in order to improve the tracking performance.

源语言	英语
期刊	Kongzhi Lilun Yu Yinyong/Control Theory and Applications
卷	12
期	2
出版状态	已出版 - 1995
已对外发布	是

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title = "Identification and control of nonlinear systems using neural networks",

abstract = "In this paper we present an identification model constructed by static feedforward neural networks and stable filters for nonlinear dynamical systems. Adaptive identification and control schemes based on neural networks are shown to guarantee stability of the system, even in the presence of neural network approximation errors. Finally, sliding control is used to compensate for inherent network approximation errors in order to improve the tracking performance.",

keywords = "Identification, Neural networks, Nonlinear systems, Sliding control",

author = "Xuemei Ren and Weibing Gao",

year = "1995",

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T1 - Identification and control of nonlinear systems using neural networks

AU - Ren, Xuemei

AU - Gao, Weibing

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AB - In this paper we present an identification model constructed by static feedforward neural networks and stable filters for nonlinear dynamical systems. Adaptive identification and control schemes based on neural networks are shown to guarantee stability of the system, even in the presence of neural network approximation errors. Finally, sliding control is used to compensate for inherent network approximation errors in order to improve the tracking performance.

KW - Identification

KW - Neural networks

KW - Nonlinear systems

KW - Sliding control

UR - https://www.scopus.com/pages/publications/71149096243

M3 - Article

AN - SCOPUS:71149096243

SN - 1000-8152

VL - 12

JO - Kongzhi Lilun Yu Yinyong/Control Theory and Applications

JF - Kongzhi Lilun Yu Yinyong/Control Theory and Applications

IS - 2

ER -

Identification and control of nonlinear systems using neural networks

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