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

摘要: 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 method is an alternative nonlinear identification approaches especially when dealing complex systems that cannot always be modelled using first principles determine their behaviour. Since modelling normally a difficult task, models have been employed many problems due its inherent characteristics and simple structure, as well. This PSO (CPSO) here optimizing the premise part of IF-THEN rules TS model; consequent part, least mean squares technique used. utilized experimental application; thermal-vacuum system which space environmental emulation satellite qualification. Results obtained variety CPSO's compared traditional approach. Numerical results indicate succeeded eliciting time-delay application.