The Design of IIR Digital Filter Based on Chaos Particle Swarm Optimization Algorithm

被引：19

作者：

Gao, Yunhong ^{[1
,2
]}

Li, Yibo ^{[2
]}

Qian, Hongjuan ^{[2
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China

[2] Shenyang Inst Aeronaut Engn, Coll Automat Engn, Shenyang 110136, Liaoning, Peoples R China

来源：

SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/WGEC.2008.53

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discusses the Ill? digital filter design based on the chaos particle swarm optimization algorithm (CPSO). CPSO algorithm not only maintains the feature of simple structure, but also improves PSO algorithm global optimization capability, and enhances the convergence speed and accuracy of the algorithm. The simulation results of the low pass and band-pass filter design show that the Ill? digital filter can be designed with good performance using the CPSO algorithm and the precision and the iterative count compared with PSO have been improved greatly.

引用

页码：303 / +

页数：2

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