On a cuckoo search optimization approach towards feedback system identification

被引：51

作者：

Patwardhan, Apoorv P. ^{[1
]}

Patidar, Rohan ^{[1
]}

George, Nithin V. ^{[1
]}

机构：

[1] Indian Inst Technol Gandhinagar, Dept Elect Engn, Gandhi Sagar 382424, Gujarat, India

来源：

DIGITAL SIGNAL PROCESSING | 2014年 / 32卷

关键词：

IIR system; System identification; Particle swarm optimization algorithm; Genetic algorithm; Cuckoo search algorithm; IIR FILTER; DESIGN; ALGORITHM;

D O I：

10.1016/j.dsp.2014.05.008

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a cuckoo search algorithm (CSA) based adaptive infinite impulse response (IIR) system identification scheme. The proposed scheme prevents the local minima problem encountered in conventional IIR modeling mechanisms. The performance of the new method has been compared with that obtained by other evolutionary computing algorithms like genetic algorithm (GA) and particle swarm optimization (PSO). The superior system identification capability of the proposed scheme is evident from the results obtained through an exhaustive simulation study. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：156 / 163

页数：8

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