國立虎尾科技大學 |

Adaptive Control of Bio-Inspired Manufacturing Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Adaptive Control of Bio-Inspired Manufacturing Systems/ by Dunbing Tang, Kun Zheng, Wenbin Gu.
作者:	Tang, Dunbing.
其他作者:	Gu, Wenbin.
面頁冊數:	IX, 128 p. 63 illus., 43 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Quality Control, Reliability, Safety and Risk. -
電子資源:	https://doi.org/10.1007/978-981-15-3445-4
ISBN:	9789811534454

Adaptive Control of Bio-Inspired Manufacturing Systems
Tang, Dunbing.

Adaptive Control of Bio-Inspired Manufacturing Systems[electronic resource] /by Dunbing Tang, Kun Zheng, Wenbin Gu. - 1st ed. 2020. - IX, 128 p. 63 illus., 43 illus. in color.online resource. - Research on Intelligent Manufacturing,2523-3386. - Research on Intelligent Manufacturing,.

Bio-Inspired Manufacturing System Model -- Hormone-regulation based Algorithm for Production Scheduling Optimization -- NeuroEndocrine-regulation based Dynamic Coordination Mechanism in Bio-Inspired Manufacturing System -- Hormone-regulation based approach for distributed and on-line scheduling of machines and AGVs -- Production control strategy inspired by neuroendocrine regulation -- NeuroEndocrine-Immune regulation based approach for disturbance handling -- Prototype and Application of the Bio-Inspired Manufacturing System.

This book introduces state-of-the-art models and methods based on the neuroendocrine-immune-inspired approaches in the field of manufacturing control systems. It develops various bio-inspired intelligent approaches for multiple applications in order to efficiently generate production plans and control solutions and agilely deal with the frequent unexpected disturbances at the shop floor level. It also provides an introduction to bio-inspired manufacturing systems with intelligent control structures and the latest technologies. Further, the book describes recent advances in the bio-inspired methodology for a high-level adaptability in manufacturing systems, including the bio-inspired control architecture and the implementation of intelligent and adaptive control approaches based on neuroendocrine-immune mechanisms and hormone-regulation principles. It offers a valuable resource for graduate students, researchers and engineers in the fields of production management, manufacturing system control and related areas. .

ISBN: 9789811534454

Standard No.: 10.1007/978-981-15-3445-4doiSubjects--Topical Terms:

671184
Quality Control, Reliability, Safety and Risk.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Adaptive Control of Bio-Inspired Manufacturing Systems
LDR:03021nam a22004095i 4500 001 1026527
003 DE-He213
005 20200701050326.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811534454 $9 978-981-15-3445-4
024 7 $a 10.1007/978-981-15-3445-4 $2 doi
035 $a 978-981-15-3445-4
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Tang, Dunbing. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1290898
245 1 0 $a Adaptive Control of Bio-Inspired Manufacturing Systems $h [electronic resource] / $c by Dunbing Tang, Kun Zheng, Wenbin Gu.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a IX, 128 p. 63 illus., 43 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 Research on Intelligent Manufacturing, $x 2523-3386
505 0 $a Bio-Inspired Manufacturing System Model -- Hormone-regulation based Algorithm for Production Scheduling Optimization -- NeuroEndocrine-regulation based Dynamic Coordination Mechanism in Bio-Inspired Manufacturing System -- Hormone-regulation based approach for distributed and on-line scheduling of machines and AGVs -- Production control strategy inspired by neuroendocrine regulation -- NeuroEndocrine-Immune regulation based approach for disturbance handling -- Prototype and Application of the Bio-Inspired Manufacturing System.
520 $a This book introduces state-of-the-art models and methods based on the neuroendocrine-immune-inspired approaches in the field of manufacturing control systems. It develops various bio-inspired intelligent approaches for multiple applications in order to efficiently generate production plans and control solutions and agilely deal with the frequent unexpected disturbances at the shop floor level. It also provides an introduction to bio-inspired manufacturing systems with intelligent control structures and the latest technologies. Further, the book describes recent advances in the bio-inspired methodology for a high-level adaptability in manufacturing systems, including the bio-inspired control architecture and the implementation of intelligent and adaptive control approaches based on neuroendocrine-immune mechanisms and hormone-regulation principles. It offers a valuable resource for graduate students, researchers and engineers in the fields of production management, manufacturing system control and related areas. .
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 671184
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 1226012
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Control and Systems Theory. $3 1211358
650 0 $a Industrial safety. $3 568114
650 0 $a Reliability. $3 573603
650 0 $a Quality control. $3 573723
650 0 $a Manufactures. $3 680602
650 0 $a Artificial intelligence. $3 559380
650 0 $a Control engineering. $3 1249728
700 1 $a Gu, Wenbin. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1322847
700 1 $a Zheng, Kun. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1322846
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811534447
776 0 8 $i Printed edition: $z 9789811534461
776 0 8 $i Printed edition: $z 9789811534478
830 0 $a Research on Intelligent Manufacturing, $x 2523-3386 $3 1286204
856 4 0 $u https://doi.org/10.1007/978-981-15-3445-4
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)