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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2004, Vol. 5 Issue (1): 62-67    DOI: 10.1631/jzus.2004.0062
Computer & Information Science     
Hybrid internal model control and proportional control of chaotic dynamical systems
QI Dong-lian, YAO Liang-bin
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  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.

Key words： Chaos      Neural network      Internal model control      Proportional control     
Received: 08 October 2002     
CLC:  TP273  
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YAO Liang-bin
QI Dong-lian
Cite this article:

QI Dong-lian, YAO Liang-bin. Hybrid internal model control and proportional control of chaotic dynamical systems. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5(1): 62-67.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2004.0062     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2004/V5/I1/62

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