Identification and control of chaotic systems: an artificial neural network approach

Guanrong Chen; Xiaoning Dong

doi:10.1109/ISCAS.1995.520354

Identification and control of chaotic systems: an artificial neural network approach

Guanrong Chen, Xiaoning Dong

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

29 Citations (Scopus)

Abstract

Our interest in this paper is to design and apply the simplest possible artificial neural networks for identifying and controlling chaotic systems. To illustrate the effectiveness of these NN controllers, we show some convincing computer simulations in the identification and control of the chaotic Duffing oscillator and chaotic cellular neural networks.

Original language	English
Pages (from-to)	1177-1182
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
DOIs	https://doi.org/10.1109/ISCAS.1995.520354
Publication status	Published - 1995
Externally published	Yes
Event	1995 IEEE International Symposium on Circuits and Systems (ISCAS 1995) - Seattle, United States Duration: 30 Apr 1995 → 3 May 1995

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@article{4a0bd5648774424d86744b6064daaa45,

title = "Identification and control of chaotic systems: an artificial neural network approach",

abstract = "Our interest in this paper is to design and apply the simplest possible artificial neural networks for identifying and controlling chaotic systems. To illustrate the effectiveness of these NN controllers, we show some convincing computer simulations in the identification and control of the chaotic Duffing oscillator and chaotic cellular neural networks.",

author = "Guanrong Chen and Xiaoning Dong",

year = "1995",

doi = "10.1109/ISCAS.1995.520354",

language = "English",

volume = "2",

pages = "1177--1182",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "IEEE",

note = "1995 IEEE International Symposium on Circuits and Systems (ISCAS 1995) ; Conference date: 30-04-1995 Through 03-05-1995",

}

TY - JOUR

T1 - Identification and control of chaotic systems

T2 - 1995 IEEE International Symposium on Circuits and Systems (ISCAS 1995)

AU - Chen, Guanrong

AU - Dong, Xiaoning

PY - 1995

Y1 - 1995

N2 - Our interest in this paper is to design and apply the simplest possible artificial neural networks for identifying and controlling chaotic systems. To illustrate the effectiveness of these NN controllers, we show some convincing computer simulations in the identification and control of the chaotic Duffing oscillator and chaotic cellular neural networks.

AB - Our interest in this paper is to design and apply the simplest possible artificial neural networks for identifying and controlling chaotic systems. To illustrate the effectiveness of these NN controllers, we show some convincing computer simulations in the identification and control of the chaotic Duffing oscillator and chaotic cellular neural networks.

UR - http://www.scopus.com/inward/record.url?scp=0029182056&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029182056&origin=recordpage

U2 - 10.1109/ISCAS.1995.520354

DO - 10.1109/ISCAS.1995.520354

M3 - RGC 22 - Publication in policy or professional journal

SN - 0271-4310

VL - 2

SP - 1177

EP - 1182

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

Y2 - 30 April 1995 through 3 May 1995

ER -

Identification and control of chaotic systems: an artificial neural network approach

Abstract

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