Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system

Applied Soft Computing Journal

Volumn 8, Issue 4, 2008, Pages 1354-1364

  Araujo, Ernesto ^a,b   Coelho, Leandro dos S ^c  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^c PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Chaotic sequences; Fuzzy modelling; Nonlinear identification; Particle swarm optimization

Indexed keywords

CHAOTIC SYSTEMS; CHLORINE COMPOUNDS; MAPS; NONLINEAR SYSTEMS; OPTIMIZATION; VACUUM;

CHAOTIC SEQUENCES; COMPLEX SYSTEMS; DYNAMICAL BEHAVIOURS; EXPERIMENTAL APPLICATION; FIRST PRINCIPLES; FUZZY MODELLING; IDENTIF ICATION PROBLEM; IF-THEN RULES; LEAST MEAN-SQUARES; LOZI MAP; NON-LINEAR CHARACTERISTICS; NONLINEAR IDENTIFICATION; NUMERICA L RESULTS; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARMS; SIMPLE STRUCTURES; T-S FUZZY MODELS; TAKAGI-SUGENO FUZZY MODELS; TIME DELAYING; VACUUM SYSTEMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 50149099761     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2007.10.016     Document Type: Article

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