Optimization of PID Controllers Using Ant ...

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Sprache: Englisch

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Beschreibung

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.

Zusammenfassung

Novel optimization methods for process system control

A novel real time control algorithm, that uses Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm for optimizing PID controller parameters

Artificial neural networks for modelling complex and non-linear systems

Inhaltsverzeichnis

Artificial Neural Networks.- Genetic Algorithm.- Ant Colony Optimization (ACO).- An Application for Process System Control.

Details

Erscheinungsjahr:	2014
Fachbereich:	Technik allgemein
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xx 88 S.
ISBN-13:	9783642434778
ISBN-10:	3642434770
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Ünal, Muhammet Erdal, Hasan Topuz, Vedat Ak, Ayça
Hersteller:	Springer Berlin Springer Berlin Heidelberg
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 7 mm
Von/Mit:	Muhammet Ünal (u. a.)
Erscheinungsdatum:	15.10.2014
Gewicht:	0,178 kg