Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm

被引：9
作者：
Gholipour, R. [1 ]
Khosravi, A. [1 ]
Mojallali, H. [2 ]
机构：
[1] Babol Univ Technol, Fac Elect & Comp Engn, Babol Sar, Iran
[2] Univ Guilan, Elect Enbineering Dept, Fac Engn, POB 3756, Rasht, Iran
来源：
INTERNATIONAL JOURNAL OF ENGINEERING | 2013年 / 26卷 / 03期
关键词：
Loranz Chaotic System; Parameter Estimation; Bees Algorithm; Mean Squared Errors;
D O I：
10.5829/idosi.ije.2013.26.03c.05
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An important problem in nonlinear science is estimation of unknown parameters 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 Bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior of honey bees in food foraging. This paper focuses on using the BA to solve this problem. Simulation results demonstrate the merit, effectiveness and robustness of BA.
引用
收藏
页码：257 / 262
页数：6
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