Improved Oustaloup approximation of fractional-order operators using adaptive chaotic particle swarm optimization

被引：36

作者：

Gao, Zhe ^{[1
]}

Liao, Xiaozhong ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2012年 / 23卷 / 01期

基金：

中国国家自然科学基金;

关键词：

fractional-order calculus; rational approximation; particle swarm optimization (PSO); tent map; DERIVATIVES; SYSTEMS; DESIGN;

D O I：

10.1109/JSEE.2012.00018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A rational approximation method of the fractional-order derivative and integral operators is proposed. The turning frequency points are fixed in each frequency interval in the standard Oustaloup approximation. In the improved Oustaloup method, the turning frequency points are determined by the adaptive chaotic particle swarm optimization (PSO). The average velocity is proposed to reduce the iterations of the PSO. The chaotic search scheme is combined to reduce the opportunity of the premature phenomenon. Two fitness functions are given to minimize the zero-pole and amplitude-phase frequency errors for the underlying optimization problems. Some numerical examples are compared to demonstrate the effectiveness and accuracy of this proposed rational approximation method.

引用

页码：145 / 153

页数：9

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