Overview
- 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
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonlinear Physical Science (NPS)
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About this book
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.
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Keywords
Table of contents (7 chapters)
Authors and Affiliations
About the author
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.
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.
Bibliographic Information
Book Title: Type-2 Fuzzy Logic
Book Subtitle: Uncertain Systems’ Modeling and Control
Authors: Rómulo Antão
Series Title: Nonlinear Physical Science
DOI: https://doi.org/10.1007/978-981-10-4633-9
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-4632-2Published: 28 July 2017
Softcover ISBN: 978-981-13-5187-7Published: 09 December 2018
eBook ISBN: 978-981-10-4633-9Published: 23 July 2017
Series ISSN: 1867-8440
Series E-ISSN: 1867-8459
Edition Number: 1
Number of Pages: X, 130
Number of Illustrations: 71 b/w illustrations
Topics: Control and Systems Theory, Computational Intelligence, Artificial Intelligence, Information Systems Applications (incl. Internet)