Computational Intelligence and Optimization Methods for Control Engineering (eBook)

eBook Download: PDF
2019 | 1st ed. 2019
XV, 355 Seiten
Springer International Publishing (Verlag)
978-3-030-25446-9 (ISBN)

Lese- und Medienproben

Computational Intelligence and Optimization Methods for Control Engineering -
Systemvoraussetzungen
128,39 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.




Maude Blondin graduated with a PhD in Electrical Engineering from the Université du Québec à Trois-Rivières,  where she obtained the prestigious Vanier Canada Graduate Scholarship. During her PhD, she did a six-month internship at the Universidad Politecnica de Valencia, under the supervision of Javier Sanchis Saez. She moved to Florida to work in close collaboration with her PhD co-advisor, Panos M. Pardalos. Her doctoral research was on computational intelligence methods, and soft computing techniques applied to control engineering. Dr. Blondin is currently a postdoctoral researcher in the mechanical and aerospace engineering department at the University of Florida. She is expanding her research interests to the use of multiobjective optimization applied to multiagent control strategies. ?

Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).

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 of the 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.
Erscheint lt. Verlag 20.9.2019
Reihe/Serie Springer Optimization and Its Applications
Springer Optimization and Its Applications
Zusatzinfo XV, 355 p. 186 illus., 133 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik
Schlagworte Autonomous Vehicles • case studies for engineering applications • complex biological systems • Computational Intelligence • control complex systems • control engineering • control optimization techniques • Conventional Control • cyber-physical-human systems • desalination industry • engineering applications • fuzzy control smart structures • hybrid electric bases • Intelligence computational • intelligent control theory • Koopman operator • multiobjective optimization algorithms • neural network predictor • Non-intrusive Load Monitoring • run-to-run controller
ISBN-10 3-030-25446-1 / 3030254461
ISBN-13 978-3-030-25446-9 / 9783030254469
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 15,4 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Konzepte, Methoden, Lösungen und Arbeitshilfen für die Praxis

von Ernst Tiemeyer

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
69,99
Konzepte, Methoden, Lösungen und Arbeitshilfen für die Praxis

von Ernst Tiemeyer

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
69,99
Der Weg zur professionellen Vektorgrafik

von Uwe Schöler

eBook Download (2024)
Carl Hanser Verlag GmbH & Co. KG
29,99