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Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly
2004 Vol.5 No.1 P.62-67
Hybrid internal model control and proportional control of chaotic dynamical systems
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
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DOI:
10.1631/jzus.2004.0062
CLC number:
TP273
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
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