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An Improved Fuzzy PD-Like Controller for MIMO Twin Rotor System: Rules Reduction and Performance Improvement - Couverture souple

Mahmoud, Thair; Hong, Tang; Marhaban, Mohammad

 
9783847375500: An Improved Fuzzy PD-Like Controller for MIMO Twin Rotor System: Rules Reduction and Performance Improvement
Couverture souple
ISBN 10 : 3847375504 ISBN 13 : 9783847375500
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This book investigates the use of ANFIS-Self Tuning Fuzzy PD-like Controller, which tolerates the control objectives and compromises the required computation resources. The discussed control strategy has been utilised to achieve control objectives on one- and two- degrees of freedom of a highly non-linear system (Twin Rotor MIMO System). The book also includes the Fuzzy and Self Tuning Fuzzy controllers design. In addition, it details controllers' modelling steps including the data clustering and ANFIS training. This book shows how Fuzzy rules have been reduced when Fuzzy Subtractive Clustering Method based ANFIS modelling is applied, meanwhile controllers performance is improved. The scientific material in this book justifies the concerns about the needed computation (memory and processing time), where a compromised selection for the parameters that would affect the system's performance and their needed computation resources has been applied.

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

Présentation de l'éditeur

This book investigates the use of ANFIS-Self Tuning Fuzzy PD-like Controller, which tolerates the control objectives and compromises the required computation resources. The discussed control strategy has been utilised to achieve control objectives on one- and two- degrees of freedom of a highly non-linear system (Twin Rotor MIMO System). The book also includes the Fuzzy and Self Tuning Fuzzy controllers design. In addition, it details controllers' modelling steps including the data clustering and ANFIS training. This book shows how Fuzzy rules have been reduced when Fuzzy Subtractive Clustering Method based ANFIS modelling is applied, meanwhile controllers performance is improved. The scientific material in this book justifies the concerns about the needed computation (memory and processing time), where a compromised selection for the parameters that would affect the system's performance and their needed computation resources has been applied.

Biographie de l'auteur

Thair is a control and automation engineer. He did his B.Sc.and M.Sc. in control and automation engineering from University of Technology, Iraq, 2004 and Universiti Putra Malaysia, Malaysia, 2009. He is currently perusing a PhD in Energy Management Systems (EMS)in Edith Cowan University, Australia. His research interests: Modelling & Control.

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 
3847375504
ISBN 13 
9783847375500
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
Personne responsable
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