img Leseprobe Leseprobe

Computational Intelligence and Optimization Methods for Control Engineering

Panos M. Pardalos (Hrsg.), Javier Sanchis Sáez (Hrsg.), Maude Josée Blondin (Hrsg.)

PDF
ca. 53,49
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges

Beschreibung

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.


Weitere Titel von diesem Autor
Panos M. Pardalos
Panos M. Pardalos
Panos M. Pardalos
Weitere Titel in dieser Kategorie
Cover Mathematics in Politics and Governance
Francisco J. Aragón-Artacho
Cover The Blue Book
Stamatina Th. Rassia
Cover Virtual Barrels
Ilia Bouchouev

Kundenbewertungen

Schlagwörter

multiobjective optimization algorithms, Koopman operator, intelligent control theory, fuzzy control smart structures, run-to-run controller, Conventional Control, non-intrusive load monitoring, complex biological systems, desalination industry, Intelligence computational, computational intelligence, engineering applications, control complex systems, Control engineering, cyber-physical-human systems, hybrid electric bases, case studies for engineering applications, control optimization techniques, autonomous vehicles, neural network predictor