DocumentCode
2551861
Title
Particle Swarm Optimization on D-stable IIR filter design
Author
Pan, Shing-Tai ; Chang, Cheng-Yuan
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2011
fDate
21-25 June 2011
Firstpage
621
Lastpage
626
Abstract
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(α, 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.
Keywords
IIR filters; genetic algorithms; particle swarm optimisation; robust control; D-stable IIR filter design; genetic algorithm; particle swarm optimization; robust stable digital filter; Biological cells; D-stability; Genetic Algorithm; IIR filter; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970588
Filename
5970588
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