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Analysis of the hierarchical fuzzy control: using evolutionary algorithms - Couverture souple

Zajaczkowski, Juliusz

 
9783659168840: Analysis of the hierarchical fuzzy control: using evolutionary algorithms
Couverture souple
ISBN 10 : 365916884X ISBN 13 : 9783659168840
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The research presented examines the construction of a fuzzy logic controller for complex nonlinear system by control system decomposition into hierarchical fuzzy logic sub-systems. Evolutionary algorithm based methods are proposed to determine the control system for the hierarchical fuzzy system (HFS). Different HFS topologies for a given dynamical system (such as the inverted pendulum system) are investigated. For the inverted pendulum system, a single layer, two layered, three layered, and four layered HFS, with different variable input configuration is investigated. Effects of different input configurations on controller performance are examined and discussed. A new evolutionary algorithm based compositional method is proposed to control system over the whole set of user-defined initial conditions. The method addresses directly the problem of controlling the dynamical system from specific, user-defined initial conditions. The multiobjective evolutionary algorithm (MOEA) based compositional method is developed and tested on the example of the inverted pendulum system.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The research presented examines the construction of a fuzzy logic controller for complex nonlinear system by control system decomposition into hierarchical fuzzy logic sub-systems. Evolutionary algorithm based methods are proposed to determine the control system for the hierarchical fuzzy system (HFS). Different HFS topologies for a given dynamical system (such as the inverted pendulum system) are investigated. For the inverted pendulum system, a single layer, two layered, three layered, and four layered HFS, with different variable input configuration is investigated. Effects of different input configurations on controller performance are examined and discussed. A new evolutionary algorithm based compositional method is proposed to control system over the whole set of user-defined initial conditions. The method addresses directly the problem of controlling the dynamical system from specific, user-defined initial conditions. The multiobjective evolutionary algorithm (MOEA) based compositional method is developed and tested on the example of the inverted pendulum system.

Biographie de l'auteur

Juliusz Zajaczkowski was born in Wroclaw (Poland) in 1955. He received MSc in Applied Mathematics from Wroclaw University of Technology (1979, Poland) and PhD (2010) from CQUniversity (2010, Rockhampton, Australia). He currently works at Queensland Climate Change Centre of Excellence, Brisbane, Australia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
365916884X
ISBN 13 
9783659168840
Reliure
Broché
Nombre de pages
288
Coordonnées du fabricant
non disponible
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