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Research on Intelligent Manufacturing

Adaptive Control of Bio-Inspired Manufacturing Systems

Authors: Tang, Dunbing, Zheng, Kun, Gu, Wenbin

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  • Provides a bio-inspired control approach for intelligent manufacturing systems
  • Includes multiple product control models with extensive applications
  • Offers several production optimization approaches based on neuroendocrine-immune regulatory and hormone-regulation mechanisms
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eBook $129.00
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  • ISBN 978-981-15-3445-4
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-981-15-3444-7
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  • Usually dispatched within 3 to 5 business days.
About this book

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. 

About the authors

Dr. Dunbing Tang is a professor at the College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics (NUAA). Before joining NUAA, Dr. Tang worked at RWTH Aachen (Germany) as an Alexander-von-Humboldt Research Fellow, and worked at Cranfield University (UK) as a research fellow. Prof. Tang’s research interests include Intelligent Manufacturing System and Production Automation.    Dr. Kun Zheng is a lecturer at School of Automotive and Rail Transit, Nanjing Institute of Technology, and a researcher at Jiangsu Key Laboratory of Advanced Numerical Control Technology. Dr. Zheng received his PhD degree at Nanjing University of Aeronautics and Astronautics (NUAA). Dr. Zheng’s research interests include Intelligent Manufacturing System, Intelligent Equipment and Information System Integration.   Dr. Wenbin Gu is a lecturer at the College of Mechanical and Electrical Engineering, Hohai University Changzhou Campus, China. He has received his PhD degree at Nanjing University of Aeronautics and Astronautics (NUAA). And then, he  studied at the University of Illinois in Chicago for one year as a visiting scholar. His research interests include Sustainable Manufacturing System, Intelligent Manufacturing System and Automation. 

Table of contents (6 chapters)

Table of contents (6 chapters)
  • Bio-Inspired Manufacturing System Model

    Pages 1-18

    Tang, Dunbing (et al.)

  • Hormone Regulation Based Algorithms for Production Scheduling Optimization

    Pages 19-45

    Tang, Dunbing (et al.)

  • Hormone Regulation Based Approach for Distributed and On-line Scheduling of Machines and AGVs

    Pages 47-72

    Tang, Dunbing (et al.)

  • Production Control Strategy Inspired by Neuroendocrine Regulation

    Pages 73-91

    Tang, Dunbing (et al.)

  • Neuroendocrine-Immune Regulation Based Approach for Disturbance Handling

    Pages 93-111

    Tang, Dunbing (et al.)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-981-15-3445-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-981-15-3444-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Control of Bio-Inspired Manufacturing Systems
Authors
Series Title
Research on Intelligent Manufacturing
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-3445-4
DOI
10.1007/978-981-15-3445-4
Hardcover ISBN
978-981-15-3444-7
Series ISSN
2523-3386
Edition Number
1
Number of Pages
IX, 128
Number of Illustrations
20 b/w illustrations, 43 illustrations in colour
Topics