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Adaptive PSO for online identification of time‐varying systems
Author(s) -
Nishida Takeshi,
Sakamoto Tetsuzo
Publication year - 2012
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11391
Subject(s) - particle swarm optimization , identification (biology) , computer science , online algorithm , adaptive system , adaptive strategies , mathematical optimization , system identification , algorithm , artificial intelligence , mathematics , data mining , history , botany , archaeology , biology , measure (data warehouse)
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 ( wileyonlinelibrary.com ). DOI 10.1002/ecj.11391