大葉大學圖書館 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.382
書名/作者:	Nature-inspired computing for control systems/ edited by Hiram Eredin Ponce Espinosa.
其他作者:	Ponce-Espinosa, Hiram.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xii, 289 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Biologically-inspired computing.
標題:	Automatic control.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Control.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319262307
ISBN:	9783319262284
摘要、提要註:	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.
電子資源:	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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