Parameter Identification of Fractional-order Chaotic System Based on Chemical Reaction Optimization

被引：4

作者：

Zhang, Junhao ^{[1
]}

Gao, Fei ^{[1
]}

Chen, Yang ^{[1
]}

Zou, Yukun ^{[1
]}

机构：

[1] Wuhan Univ Technol, Dept Math, Sch Sci, Wuhan 430070, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON MANAGEMENT ENGINEERING, SOFTWARE ENGINEERING AND SERVICE SCIENCES (ICMSS 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

Chaotic system; fractional order; parameter identification; chemical reaction optimization; FUNCTIONAL EXTREMA MODEL; BEE COLONY ALGORITHM; SYNCHRONIZATION;

D O I：

10.1145/3180374.3181323

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The essence of parameter estimation in fractional chaotic systems is a multi-dimensional parameter optimization problem, which is essential for achieving fractional chaos control and synchronization. In this article, identification of parameters and orders of fractional-order chaotic systems is transformed into optimization of some special nonnegative functions mathematically equivalently. Chemical Reaction Optimization (CRO), a general-purpose metaheuristic to search the optimal solution of the objective function, is selected to solve this optimization problem. Based on the parameter identification of fractional Lorenz chaotic system, fractional chaotic Lu system and fractional Volta chaotic system, simulation results show that the algorithm is effective, robust and powerful.

引用

页码：217 / 222

页数：6

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