Adaptive Control of Bio-Inspired Manufacturing Systems

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.

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.