Parameter Estimation of Loranz Chaotic Dynamic System Using Constriction factor approach in Particle Swarm Optimization (CFAPSO)
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 2، Issue: 5
Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJMEC-2-5_004
تاریخ نمایه سازی: 16 فروردین 1395
Abstract:
An important problem in nonlinear science is the unknown parameters estimation in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Constriction factor approach in particle swarm optimization (CFAPSO) is a new member of meta-heuristics. This paper focuses on using the CFAPSO to solve this problem. Simulation results demonstrate the merit, effectiveness and robustness of CFAPSO Algorithm.
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Authors
Reza GholipouR
Faculty of electrical and computer engineering, Babol university of technology
Alireza Khosravi
Faculty of electrical and computer engineering, Babol university of technology
Zahra Rahmani
Faculty of electrical and computer engineering, Babol university of technology
Jalil Addeh
Faculty of electrical and computer engineering, Babol university of technology