國立虎尾科技大學 |

Nature-Inspired Computing for Control Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Nature-Inspired Computing for Control Systems/ edited by Hiram Eredín Ponce Espinosa.
其他作者:	Espinosa, Hiram Eredín Ponce.
面頁冊數:	XII, 289 p. 179 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	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
LDR:02465nam a22003975i 4500 001 973235
003 DE-He213
005 20200901142017.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319262307 $9 978-3-319-26230-7
024 7 $a 10.1007/978-3-319-26230-7 $2 doi
035 $a 978-3-319-26230-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Nature-Inspired Computing for Control Systems $h [electronic resource] / $c edited by Hiram Eredín Ponce Espinosa.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XII, 289 p. 179 illus., 62 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 40
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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Control engineering. $3 1249728
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Espinosa, Hiram Eredín Ponce. $e editor. $1 https://orcid.org/0000-0002-6559-7501 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1268329
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319262284
776 0 8 $i Printed edition: $z 9783319262291
776 0 8 $i Printed edition: $z 9783319799100
830 0 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 27 $3 1254124
856 4 0 $u https://doi.org/10.1007/978-3-319-26230-7
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)