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Adaptive Control of Bio-Inspired Manufacturing Systems

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  • © 2020

Overview

Authors:
  1. Dunbing Tang

    1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  2. Kun Zheng

    1. School of Automotive and Rail Transit, Jiangsu Key Laboratory of Advanced Numerical Control Technology, Nanjing Institute of Technology, Nanjing, China

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  3. Wenbin Gu

    1. College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China

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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

Part of the book series: Research on Intelligent Manufacturing (REINMA)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-ix
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  2. Bio-Inspired Manufacturing System Model

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 1-18

  3. Hormone Regulation Based Algorithms for Production Scheduling Optimization

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 19-45

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

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 47-72

  5. Production Control Strategy Inspired by Neuroendocrine Regulation

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 73-91

  6. Neuroendocrine-Immune Regulation Based Approach for Disturbance Handling

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 93-111

  7. Development of Simulation Platform for BIMS

    • Dunbing Tang, Kun Zheng, Wenbin Gu
    Pages 113-128
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Keywords

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. 



Authors and Affiliations

  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Dunbing Tang

  • School of Automotive and Rail Transit, Jiangsu Key Laboratory of Advanced Numerical Control Technology, Nanjing Institute of Technology, Nanjing, China

    Kun Zheng

  • College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China

    Wenbin Gu

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. 



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