Paper Infomation
Identification and Control of Hyperchaotic Lorenz System Based on Quantum Inspired PSO and Wavelet Neural Network
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Author: Kun Zhang, Wei Zheng
Abstract: For the identification and control problem of hyperchaotic Lorenz system, a method of feedback compensation control based on quantum inspired PSO and wavelet neural network (PSOQI-Wavelet Neural Network) is proposed. Firstly, the quantum principle obtained from Quantum PSO(QPSO)has been combined with standard PSO to form a new hybrid algorithm called PSO with Quantum Infusion(PSO-QI). Then, the parameters of wavelet neural network were optimized with PSO-QI and feedback compensation control for hyperchaotic Lorenz system is implemented using optimized PSOQI-Wavelet Neural Network. The numerical simulation results showed that this method has better precision and can quickly track given hyperchaotic Lorenz system.
Keywords: Hyperchaotic Lorenz System, Chaotic Control, Quantum Inspired PSO, Wavelet Neural Network
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