Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control - Couverture rigide

Livre 6 sur 14: Nonlinear Physical Science

Antão, Rómulo

 
9789811046322: Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control

Synopsis

Presents a simple and didactic introduction to the principles of Type-2 Fuzzy Logic and extends them to state-of-the art methods in model-based control techniques

Uses application scenarios based on process control engineering domains, which are commonly used as a benchmark in the literature, providing a comparative standpoint to other control algorithm's implementations

Provides an open-source software framework where the algorithms used in the book are available, written for Matlab/Simulink and in C Language for embedded systems

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À propos de l?auteur

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.

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

Autres éditions populaires du même titre

9789811351877: Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control

Edition présentée

ISBN 10 :  9811351872 ISBN 13 :  9789811351877
Editeur : Springer, 2018
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