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

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

Autor Araujo, Ernesto Autor UNIFESP Google Scholar
Coelho, Leandro dos S. Google Scholar
Instituição Inst Nacl Pesquisas Espaciais
Universidade Federal de São Paulo (UNIFESP)
Pontifical Catholic Univ Parana PUC PR
Resumo Particle Swarm Optimization (PSO) approach intertwined with Lozi map chaotic sequences to obtain Takagi-Sugeno (TS) fuzzy model for representing dynamical behaviours are proposed in this paper. the proposed method is an alternative for nonlinear identification approaches especially when dealing with complex systems that cannot always be modelled using first principles to determine their dynamical behaviour. Since modelling nonlinear systems is normally a difficult task, fuzzy models have been employed in many identification problems due its inherent nonlinear characteristics and simple structure, as well. This proposed chaotic PSO (CPSO) approach is employed here for optimizing the premise part of the IF-THEN rules of TS fuzzy model; for the consequent part, least mean squares technique is used. the proposed method is utilized in an experimental application; a thermal-vacuum system which is employed for space environmental emulation and satellite qualification. Results obtained with a variety of CPSO's are compared with traditional PSO approach. Numerical results indicate that the chaotic PSO approach succeeded in eliciting a TS fuzzy model for this nonlinear and time-delay application. (C) 2007 Elsevier B.V. All rights reserved.
Palavra-chave particle swarm optimization
fuzzy modelling
chaotic sequences
nonlinear identification
Idioma Inglês
Data de publicação 2008-09-01
Publicado em Applied Soft Computing. Amsterdam: Elsevier B.V., v. 8, n. 4, p. 1354-1364, 2008.
ISSN 1568-4946 (Sherpa/Romeo, fator de impacto)
Publicador Elsevier B.V.
Extensão 1354-1364
Fonte http://dx.doi.org/10.1016/j.asoc.2007.10.016
Direito de acesso Acesso restrito
Tipo Artigo
Web of Science WOS:000258833900009
Endereço permanente http://repositorio.unifesp.br/handle/11600/30881

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