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MAB
Adaptive Control of Bio-Inspired Manufacturing Systems
Kategorie
Beschreibung
036a
XB-SG
037b
eng
087q
978-981-15-3444-7
087q
978-981-15-3446-1
087q
978-981-15-3447-8
100
Tang, Dunbing ¬[VerfasserIn]¬
104a
Zheng, Kun ¬[VerfasserIn]¬
108a
Gu, Wenbin ¬[VerfasserIn]¬
331
Adaptive Control of Bio-Inspired Manufacturing Systems
403
1st ed. 2020.
410
Singapore
410
Singapore
412
Springer Singapore
412
Imprint: Springer
425
2020
425
2020
425a
2020
433
1 Online-Ressource(IX, 128 p. 62 illus., 43 illus. in color.)
451b
Research on Intelligent Manufacturing
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-3444-7
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-3446-1
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-3447-8
540a
ISBN 978-981-15-3445-4
700
|TJFM
700
|TEC004000
700b
|629.8
750
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.
753
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. .
012
1691531200
081
Adaptive Control of Bio-Inspired Manufacturing Systems
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttps://doi.org/10.1007/978-981-15-3445-4
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