Type-2 Fuzzy Logic Uncertain Systems’ Modeling and Control
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Nonlinear Physical Science
Type-2 Fuzzy Logic
Uncertain Systems’ Modeling and Control
Rómulo Antão | Alexandre Mota | Rui Martins | José Tenreiro Machado
Technology & Engineering / Electrical
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
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.
| Publication Date: | 09 December 2018 |
| Publisher: | Springer Nature Singapore |
| Imprint: | Springer |
| ISBN-13: | 9789811351877 |
| Format: | Paperback softback |
| Page Count: | 130 |