Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems.
Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems.
1. Introduction
2. Nature-inspired algorithms for the optimal tuning of fuzzy
controllers
3. Adaptive nature-inspired algorithms for the optimal tuning of
fuzzy controllers
4. Hybrid nature-inspired algorithms for the optimal tuning of
fuzzy controllers
5. Conclusions
Radu-Emil Precup received the Dipl.Ing. (Hons.) degree in
automation and computers from the "Traian Vuia" Polytechnic
Institute of Timisoara, Timisoara, Romania, in 1987, the Diploma in
mathematics from the West University of Timisoara, Timisoara, in
1993, and the Ph.D. degree in automatic systems from the
"Politehnica" University of Timisoara, Timisoara, in 1996.
He was the recipient of the Elsevier Scopus Award for Excellence in
Global Contribution (2017), the "Grigore Moisil" Prize from the
Romanian Academy, two times, in 2005 and 2016, for his contribution
on fuzzy control and the optimization of fuzzy systems, the Spiru
Haret Award from the National Grand Lodge of Romania in partnership
with the Romanian Academy in 2016 for education, environment and
IT, the Excellency Diploma of the International Conference on
Automation, Quality & Testing, Robotics AQTR 2004 (THETA 14,
Cluj-Napoca, Romania), two Best Paper Awards in the Intelligent
Control Area of the 2008 Conference on Human System Interaction HSI
2008, Krakow (Poland), the Best Paper Award of 16th Online World
Conference on Soft Computing in Industrial Applications WSC16
(Loughborough University, UK) in 2011, the Certificate of
Appreciation for the Best Paper in the Session TT07 1 Control
Theory of 39th Annual Conference of the IEEE Industrial Electronics
Society IECON 2013 (Vienna, Austria), a Best Paper Nomination at
12th International Conference on Informatics in Control, Automation
and Robotics ICINCO 2015 (Colmar, France), and was listed as one of
the top 10 researchers in Artificial Intelligence and Automation
(according to IIoT World as of July 2017). Radu-Codrut David
received the Dipl.Ing. degree in systems and computer engineering,
the M.Sc. degree in automatic systems, and the Ph.D. degree in
systems engineering from the Politehnica University of Timisoara,
Timisoara, Romania, in 2006, 2008, and 2015, respectively.
He is the co-author of more than 30 papers published in scientific
journals, refereed conference proceedings, and as contributions to
books. His research interests include control structures and
algorithms with focus on fuzzy control and nature-inspired
optimization.
Dr. David is a Member of the Technical Committee on Soft Computing
of the Institute of Electrical and Electronics Engineers Systems,
Man, and Cybernetics Society.
He was the recipient of "Grigore Moisil" Prize from the Romanian
Academy in 2016 for his contribution on the optimization of fuzzy
systems, and the Best Paper Award of 16th Online World Conference
on Soft Computing in Industrial Applications WSC16 (Loughborough
University, UK) in 2011.
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