Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model

被引：94

作者：

Gotmare, Akhilesh ^{[1
]}

Patidar, Rohan ^{[1
]}

George, Nithin V. ^{[1
]}

机构：

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

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 05期

关键词：

Hammerstein model; System identification; Particle swarm optimization algorithm; Differential evolution; Cuckoo search algorithm; PARAMETER-ESTIMATION; ALGORITHM; FILTER;

D O I：

10.1016/j.eswa.2014.10.040

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An attempt has been made in this paper to model a nonlinear system using a Hammerstein model. The Hammerstein model considered in this paper is a functional link artificial neural network (FLANN) in cascade with an adaptive infinite impulse response (IIR) filter. In order to avoid local optima issues caused by conventional gradient descent training strategies, the model has been trained using a cuckoo search algorithm (CSA), which is a recently proposed stochastic algorithm. Modeling accuracy of the proposed scheme has been compared with that obtained using other popular evolutionary computing algorithms for the Hammerstein model. Enhanced modeling capability of the CSA based scheme is evident from the simulation results. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：2538 / 2546

页数：9

共 30 条

[1] Nonlinear Hammerstein model identification using Genetic Algorithm [J].

Akramizadeh, A ;

Farjami, AA ;

Khaloozadeh, H .

2002 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE SYSTEMS, PROCEEDINGS, 2002, :351-356

[2]

AlDuwaish H, 1997, AUTOMATICA, V33, P1871

[3]

Back A. D., 1992, Neural Networks for Signal Processing II. Proceedings of the IEEE-SP Workshop (Cat. No.92TH0430-9), P444, DOI 10.1109/NNSP.1992.253668

[4] Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy [J].

Bhandari, Ashish Kumar ;

Singh, Vineet Kumar ;

Kumar, Anil ;

Singh, Girish Kumar .

EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (07) :3538-3560

[5] Coefficient estimation of IIR filter by a multiple crossover genetic algorithm [J].

Chang, Wei-Der .

COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2006, 51 (9-10) :1437-1444

[6] A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms [J].

Civicioglu, Pinar ;

Besdok, Erkan .

ARTIFICIAL INTELLIGENCE REVIEW, 2013, 39 (04) :315-346

[7] USE OF HAMMERSTEIN MODELS IN IDENTIFICATION OF NONLINEAR-SYSTEMS [J].

ESKINAT, E ;

JOHNSON, SH ;

LUYBEN, WL .

AICHE JOURNAL, 1991, 37 (02) :255-268

[8] Convex combination of nonlinear adaptive filters for active noise control [J].

George, Nithin V. ;

Gonzalez, Alberto .

APPLIED ACOUSTICS, 2014, 76 :157-161

[9]

Hachino T., 2004, 2004 5 AS CONTR C, V1, P124

[10] Parameter estimation for chaotic systems by particle swarm optimization [J].

He, Qie ;

Wang, Ling ;

Liu, Bo .

CHAOS SOLITONS & FRACTALS, 2007, 34 (02) :654-661

← 1 2 3 →