Editors:
- Features case studies (Chapters 3-14) for engineering applications
- Utilizes state-of-the-art in control optimization techniques
- Provides the reader with future directions and insights into developing new techniques
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 150)
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Table of contents (14 chapters)
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Front Matter
About this book
This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.
Keywords
- control optimization techniques
- engineering applications
- Intelligence computational
- Control engineering
- Conventional Control
- case studies for engineering applications
- intelligent control theory
- control complex systems
- multiobjective optimization algorithms
- fuzzy control smart structures
- computational intelligence
- desalination industry
- complex biological systems
- neural network predictor
- cyber-physical-human systems
- Koopman operator
- non-intrusive load monitoring
- autonomous vehicles
- run-to-run controller
- hybrid electric bases
Editors and Affiliations
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Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, USA
Maude Josée Blondin
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Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA
Panos M. Pardalos
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Institute of Automation and Industrial Computer, Polytechnic University of Valencia, Valencia, Spain
Javier Sanchis Sáez
About the editors
Javier Sanchis Sáez received his B.Sc. (1993) and Ph.D. (2002) in Computer Science from Universidad Politécnica de Valencia (Spain). He is a professor in the Department of Systems Engineering and Control ofthe same university. His main research interests are multivariable predictive control, process optimisation and computational intelligence methods for control engineering. Professor Sanchis is co-author of Controller Tuning with Evolutionary Multiobjective Optimization (Springer, 2017) and is the author of more than fifty research papers on integration of computational intelligence methods with control engineering.
Bibliographic Information
Book Title: Computational Intelligence and Optimization Methods for Control Engineering
Editors: Maude Josée Blondin, Panos M. Pardalos, Javier Sanchis Sáez
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-25446-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-25445-2Published: 02 October 2019
Softcover ISBN: 978-3-030-25448-3Published: 02 October 2020
eBook ISBN: 978-3-030-25446-9Published: 20 September 2019
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 355
Number of Illustrations: 53 b/w illustrations, 133 illustrations in colour
Topics: Calculus of Variations and Optimal Control; Optimization, Control, Robotics, Mechatronics, Control Structures and Microprogramming, Systems Theory, Control