An improved global harmony search algorithm for the identification of nonlinear discrete-time systems based on Volterra filter modeling
type: Item
instance of: scholarly article
title: An improved global harmony search algorithm for the identification of nonlinear discrete-time systems based on Volterra filter modeling
zbMATH Open document ID: 1400.93314
DOI: 10.1155/2016/3102845
author: Zongyan Li
author: Deliang Li
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: This paper describes an improved global harmony search (IGHS) algorithm for identifying the nonlinear discrete-time systems based on second-order Volterra model. The IGHS is an improved version of the novel global harmony search (NGHS) algorithm, and it makes two significant improvements on the NGHS. First, the genetic mutation operation is modified by combining normal distribution and Cauchy distribution, which enables the IGHS to fully explore and exploit the solution space. Second, an opposition-based learning (OBL) is introduced and modified to improve the quality of harmony vectors. The IGHS algorithm is implemented on two numerical examples, and they are nonlinear discrete-time rational system and the real heat exchanger, respectively. The results of the IGHS are compared with those of the other three methods, and it has been verified to be more effective than the other three methods on solving the above two problems with different input signals and system memory sizes.
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 6953007
Wikidata QID: Q59130794
describes a project that uses: JADE
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/3102845
OpenAlex ID: W2266207499
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description: scientific article; zbMATH DE number 6953007