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Hierarchical Fuzzy Control for Industrial Automation: Hierarchical Fuzzy Systems - Couverture souple

Ansari, Abdul Quaiyum

 
9783639515923: Hierarchical Fuzzy Control for Industrial Automation: Hierarchical Fuzzy Systems
Couverture souple
ISBN 10 : 3639515927 ISBN 13 : 9783639515923
Editeur : Scholar's Press, 2013

Synopsis

In this study, a new hierarchical approach to the simplification of multi-input Fuzzy Logic Controller (FLC) is presented. Object Oriented Methodology (OOM) has been used for the software implementation of the conventional FLC and the Hierarchical Fuzzy Controller (HFC). A new class, called fuzset, has been created for computations using fuzzy sets, using the primitive data types – integer and float. This class forms a part of a class library for fuzzy operations. Also an attempt has been made to migrate to the windows environment using the concepts of Object Linking and Embedding (OLE) and Object Windows Library (OWL). Practical FLC and HFC controllers were implemented using the OOM and its performance in respect of code size and memory was compared with those implemented using the procedural ‘C’ language. The results show that the HFC, which has been implemented using the proposed OOM, performs better than its conventional counterparts in terms of less rise time and less overshoot. A mathematical description of the outlined procedure makes easy the passage from the original reference algorithm to the simplified controller algorithms of the HFC structure.

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

Présentation de l'éditeur

In this study, a new hierarchical approach to the simplification of multi-input Fuzzy Logic Controller (FLC) is presented. Object Oriented Methodology (OOM) has been used for the software implementation of the conventional FLC and the Hierarchical Fuzzy Controller (HFC). A new class, called fuzset, has been created for computations using fuzzy sets, using the primitive data types – integer and float. This class forms a part of a class library for fuzzy operations. Also an attempt has been made to migrate to the windows environment using the concepts of Object Linking and Embedding (OLE) and Object Windows Library (OWL). Practical FLC and HFC controllers were implemented using the OOM and its performance in respect of code size and memory was compared with those implemented using the procedural ‘C’ language. The results show that the HFC, which has been implemented using the proposed OOM, performs better than its conventional counterparts in terms of less rise time and less overshoot. A mathematical description of the outlined procedure makes easy the passage from the original reference algorithm to the simplified controller algorithms of the HFC structure.

Biographie de l'auteur

Dr. Abdul Quaiyum Ansari is a professor in the Dept. of Elect. Engg. at Jamia Millia Islamia, New Delhi. He has served as Prof and Head, Dept. of Comp. Sc., and Dean, FMSIT at Jamia Hamdard, New Delhi. He did B.Tech, M.Tech. and PhD from AMU, IITD, and JMI, respectively. He works in the areas of Comp. N/W, NoC, Fuzzy Logic, and Image Processing.

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

Éditeur
Scholar's Press
Date d'édition
2013
Langue
anglais
ISBN 10 
3639515927
ISBN 13 
9783639515923
Reliure
Broché
Nombre de pages
144
Coordonnées du fabricant
non disponible
Personne responsable
non disponible