سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۷

نویسنده(ها):

Reza gholipour – Faculty of electrical and computer engineering, Babol (oushirvani) university or technology
Alireza khosravi –
Zahra rahmani –
Jalil addeh –

چکیده:

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 estimatedresponses 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 usingthe CFAPSO to solve this problem. Simulation results demonstrate the merit, effectiveness and robustness of CFAPSO Algorithm.