Identification and Control of Hyperchaotic Lorenz System Based on Quantum Inspired PSO and Wavelet Neural Network

• 作者: Kun Zhang Wei Zheng
• 来源期刊: 控制工程期刊:中英文版
• 学科: 物理学
• 关键词: HYPERCHAOTIC LORENZ System CHAOTIC Control QUANTUM Inspired PSO WAVELET Neural Network
• 年，卷（期）: 2019,（1）
• 页码范围: 1-12
• 页数: 12页
• 分类号: O41

摘要

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.