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Adaptive control of bio-inspired man...

Tang, Dunbing.

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Adaptive control of bio-inspired manufacturing systems

紀錄類型:	書目-電子資源 : 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:	Zheng, Kun.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	ix, 128 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Manufacturing processes. -
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. - Singapore :Springer Singapore :2020. - ix, 128 p. :ill., digital ;24 cm. - 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:

613090
Manufacturing processes.

LC Class. No.: TS183 / .T364 2020

Dewey Class. No.: 670

Adaptive control of bio-inspired manufacturing systems
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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.
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