Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control (Nonlinear Physical Science) - Hardcover

Buch 6 von 14: Nonlinear Physical Science

Antão, Rómulo

 
9789811046322: Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control (Nonlinear Physical Science)
Hardcover
ISBN 10: 9811046328 ISBN 13: 9789811046322
Verlag: Springer, 2017

Inhaltsangabe

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. 

 Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.


Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Dr. Rómulo Antão (Rómulo José Magalhães Martins Antão) received M.Sc. degree in Electronics and Telecommunications Engineering, and Ph.D. degree in Electrotechnical Engineering from the University of Aveiro, Portugal, in 2010 and 2016, respectively. Currently, he works in Modeling and Control domains as a Post-Doctoral researcher at Aveiro University, and working simultaneously as Power Electronics Engineer in Industry. His research areas of interest are system modelling, adaptive control theory, power electronics and embedded systems applied to DC-DC Converters and Motion Control.
 
Prof. Alexandre Mota (Alexandre Manuel Moutela Nunes da Mota) is Associate Professor at the University of Aveiro, Portugal.
 
Prof. Rui Escadas Martins (Rui Manuel Escadas Ramos Martins) is Assistant Professor at the University of Aveiro, Portugal.
 
Prof. J. Tenreiro Machado (José António Tenreiro Machado) is Principal Coordinator Professor at the Institute of Engineering, Polytechnic Institute of Porto, Portugal.

Von der hinteren Coverseite

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets.

Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
9811046328
ISBN 13 
9789811046322
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
140
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Deutschland

Weitere beliebte Ausgaben desselben Titels

9789811351877: Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control (Nonlinear Physical Science)

Vorgestellte Ausgabe

ISBN 10:  9811351872 ISBN 13:  9789811351877
Verlag: Springer, 2018
Softcover