Title: Adaptive Control of Bio-Inspired Manufacturing Systems (Research on Intelligent Manufacturing)
Publisher: Springer
Publication Date: 2021
Language: English
ISBN 10: 9811534470
ISBN 13: 9789811534478
Binding: Soft cover
Condition: New

About this title

Synopsis

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 Author

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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