大葉大學圖書館 |

Nature-inspired computing for control systems[electronic resource] /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	006.382
[NT 47271] Title/Author:	Nature-inspired computing for control systems/ edited by Hiram Eredin Ponce Espinosa.
[NT 51406] other author:	Ponce-Espinosa, Hiram.
出版者:	Cham : : Springer International Publishing :, 2016.
面页册数:	xii, 289 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
标题:	Biologically-inspired computing.
标题:	Automatic control.
标题:	Engineering.
标题:	Computational Intelligence.
标题:	Control.
标题:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319262307
ISBN:	9783319262284
[NT 15000229] null:	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.
电子资源:	http://dx.doi.org/10.1007/978-3-319-26230-7

Nature-inspired computing for control systems[electronic resource] /
Nature-inspired computing for control systems[electronic resource] /edited by Hiram Eredin Ponce Espinosa. - Cham :Springer International Publishing :2016. - xii, 289 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v.402198-4182 ;. - Studies in systems, decision and control ;v.7..

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:

468077
Biologically-inspired computing.

LC Class. No.: Q335

Dewey Class. No.: 006.382

Nature-inspired computing for control systems[electronic resource] /
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520 $a 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.
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