- February 18, 2019
- 4:00 p.m.
- 100 Hancock Hall
- Mr. Xu JIN, Georgia Institute of Technology
- Faculty Host: Dr. Craig Woolsey
Abstract: Autonomous systems are making a profound impact on the humanity and are transforming our society. As one step towards full autonomy, modern control methods play a crucial role in the design and operation of autonomous systems. Such modern controllers should be capable of learning from the past operation experiences, and be able to adapt to the system and environmental uncertainties on real time. At the same time, these controllers should give performance guarantees of the systems, like to avoid collisions for autonomous cars, or to satisfy any other customer requirements and safety regulations. Malicious attacks by outside parties on the sensors and actuators of the system, should also be considered and mitigated during the operation. In this talk, a conservation-based distributed control framework, motived by thermodynamics principles, will first be introduced for the consensus problems in the random networks. Next, from a cyber-physical system security perspective, a vehicle platoon application will be examined, followed by a more generic discussion on the leader-follower problems for stochastic networked multiagent systems. Finally, a novel iterative learning control algorithm will be presented for a constrained mobile robot application. Future research directions in this domain will also be explored.
Bio: Xu JIN received his Bachelor of Engineering degree (equiv. B. S.)(First Hons.) in electrical and computer engineering from the National University of Singapore, Singapore, the Master of Applied Science (equiv. M. S.) degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, and the Master of Science degree in mathematics from the Georgia Institute of Technology, Atlanta, GA, USA. He is currently a Ph.D. candidate with the Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Xu JIN’s current research interests include adaptive control, iterative learning control, stochastic control, cyber-physical system control, with applications to intelligent vehicles, mobile robots, robot manipulators, and multiagent systems, etc. He has 24 peer-reviewed journal papers that are already published or accepted, including 20 first-author journal papers published in the top-tier journals of the field like the IEEE Transactions on Cybernetics, the IEEE Transactions on Automatic Control, Automatica, the International Journal of Robust and Nonlinear Control, and Systems & Control Letters, etc.. Xu JIN has been an active Reviewer for over 20 journals in the field of systems and controls, and dozens of international conferences.