Consensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with continuously switching topologies and relay tracking systems with switching of agents. Research problems addressed are well defined and numerical examples and simulation results are given to demonstrate the engineering potential. The book is aimed at advanced graduate students in control engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers working on nonlinear control and switched control, as well as mathematicians and biomedical engineering researchers working on complex systems.

• Discusses key applications and the latest advances in distributed consensus tracking methods
• Offers a clear and comprehensive overview on the recent development of multi-agent systems with switching topologies
• Offers graduate students and beginning engineers a core reference on complex systems analysis and cooperative control

1. Introduction
2. Multi-agent systems with continuously switching topologies
3. Multi-agent systems with continuously switching topologies based on polytopic model
4. High-order multi-agent systems with time-delays and continuously switching topologies based on polytopic model
5. Sliding mode control for multi-agent systems with continuously switching topologies based on polytopic model
6. Cooperative relay tracking strategy for multi-agent systems with assistance of Voronoi diagrams
7. Stability of a class of multi-agent relay tracking systems with unstable subsystems
8. Multi-agent relay tracking systems with time-varying number of tracking agents
9. Multi-agent relay tracking systems with time-varying number of tracking agents and time delays
10. Stability analysis of nonlinear multi-agent relay tracking systems over a finite time interval
11. Conclusion

Lijing Dong received the B.E. and the Ph.D. degree from the School of Automation, Beijing Institute of Technology, Beijing, China, in 2010 and 2016, respectively. From 2013 to 2014, she was a visiting scholar with the Department of Electrical and Computer Engineering, University of Auckland. Currently, she is a Lecturer at School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University. Her current research interests include multi-agent systems and distributed control systems. She has obtained the authorization of multiple invention patents. In 2016, she got the first prizes of science and technology award from China Railway Society and innovation achievement award from China Industry-University-Research Institute Collaboration Association. She has published over 20 refereed journal and conference papers on multi-agent systems, large-scale complex systems and has/had served as reviewer of a number of international journals.
Sing Kiong Nguang is a professor with the Department of Electrical and Computer Engineering at the University of Auckland, Auckland, New Zealand. He received the B.E. (with first class honors) and the Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Newcastle, Callaghan, Australia, in 1992 and 1995, respectively. He has published over 300 refereed journal and conference papers on nonlinear control design, nonlinear control systems, nonlinear time delay systems, nonlinear sampled-data systems, networked control systems, biomedical systems modelling, fuzzy modeling and control, biological systems modelling and control, and food and bio-product processing. He has/had served on the editorial board of a number of international journals. He is the Chief-Editor of the International Journal of Sensors, Wireless Communications and Control.