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Adaptive PSO for online identification of time-varying systems.

Authors :
Nishida, Takeshi
Sakamoto, Tetsuzo
Source :
Electronics & Communications in Japan; Jul2012, Vol. 95 Issue 7, p10-18, 9p
Publication Year :
2012

Abstract

Novel adaptive PSO (particle swarm optimization) algorithms called OPSO (online PSO) and ϵPSO are proposed. These algorithms are designed to prevent increasing of calculation cost in order to embed into online systems, and they have high adaptive performances to environmental changes. The efficiency of the proposed PSO algorithms are demonstrated by numerical simulation and the online identification of an actual dynamic system. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(7): 10-18, 2012; Published online in Wiley Online Library (). DOI 10.1002/ecj.11391 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19429533
Volume :
95
Issue :
7
Database :
Complementary Index
Journal :
Electronics & Communications in Japan
Publication Type :
Academic Journal
Accession number :
76608283
Full Text :
https://doi.org/10.1002/ecj.11391