Particle Swann Optimization on D-stable IIR Filter Design

被引：0

作者：

Pan, Shing-Tai ^{[1
]}

Chang, Cheng-Yuan ^{[2
]}

机构：

[1] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, 700 Kaohsiung Univ Rd, Kaohsiung 811, Taiwan

[2] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 320, Taiwan

来源：

2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011) | 2011年

关键词：

Particle swarm optimization; Genetic Algorithm; IIR filter; D-stability; DIGITAL-FILTERS; GENETIC ALGORITHM; MAGNITUDE; STABILITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper explores the design of robust stable digital filter by the Particle Swarm Optimization (PSO) algorithm. The results are compared to the design by Genetic Algorithm (GA). We first derive a robust stability criterion which will be used to ensure the D(alpha, r) -stability of the digital filter in the evolution of DE. Finally, we will compare the result designed by DE with that designed by GA. It will be found that the performance of the PSO is better that that of GA in the design example of this paper.

引用

页码：621 / 626

页数：6

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