http://www.ivypub.org/journal/RSS.aspx?J=SJCE&lang=enen-US2019-0<p class="abstract">Identification and Control of Hyperchaotic Lorenz System Based on Quantum Inspired PSO and Wavelet Neural Network</p><ul><li>Pages 1-12</li><li>Author Kun ZhangWei Zhen</li><li>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.</li></ul>/SJCE/paperinfo/53395.shtmlScientific Journal of Control Engineering/SJCE/paperinfo/53395.shtml