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Nature-Inspired Computing for Control Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nature-Inspired Computing for Control Systems/ edited by Hiram Eredín Ponce Espinosa.
other author:	Espinosa, Hiram Eredín Ponce.
Description:	XII, 289 p. 179 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-26230-7
ISBN:	9783319262307

Nature-Inspired Computing for Control Systems
Nature-Inspired Computing for Control Systems[electronic resource] /edited by Hiram Eredín Ponce Espinosa. - 1st ed. 2016. - XII, 289 p. 179 illus., 62 illus. in color.online resource. - Studies in Systems, Decision and Control,402198-4182 ;. - Studies in Systems, Decision and Control,27.

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

ISBN: 9783319262307

Standard No.: 10.1007/978-3-319-26230-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Nature-Inspired Computing for Control Systems
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