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Journal of Zhejiang University SCIENCE A 2004 Vol.5 No.1 P.62~67


Hybrid internal model control and proportional control of chaotic dynamical systems

Author(s):  QI Dong-lian, YAO Liang-bin

Affiliation(s):  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   ldq0924@china.com.cn

Key Words:  Chaos, Neural network, Internal model control, Proportional control

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QI Dong-lian, YAO Liang-bin. Hybrid internal model control and proportional control of chaotic dynamical systems[J]. Journal of Zhejiang University Science A, 2004, 5(1): 62~67.

@article{title="Hybrid internal model control and proportional control of chaotic dynamical systems",
author="QI Dong-lian, YAO Liang-bin",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Hybrid internal model control and proportional control of chaotic dynamical systems
%A QI Dong-lian
%A YAO Liang-bin
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%D 2004
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%DOI 10.1631/jzus.2004.0062

T1 - Hybrid internal model control and proportional control of chaotic dynamical systems
A1 - QI Dong-lian
A1 - YAO Liang-bin
J0 - Journal of Zhejiang University Science A
VL - 5
IS - 1
SP - 62
EP - 67
%@ 1869-1951
Y1 - 2004
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2004.0062

A new chaos control method is proposed to take advantage of chaos or avoid it. The hybrid internal model control and proportional control learning scheme are introduced. In order to gain the desired robust performance and ensure the system's stability, Adaptive Momentum Algorithms are also developed. Through properly designing the neural network plant model and neural network controller, the chaotic dynamical systems are controlled while the parameters of the BP neural network are modified. Taking the Lorenz chaotic system as example, the results show that chaotic dynamical systems can be stabilized at the desired orbits by this control strategy.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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