The Information & Smart Systems Laboratory (ISSL) is a group of researchers at the University of Kansas working to push the frontiers of information-driven smart systems. The lab performs cutting-edge research on information extraction, analysis and exploitation for dynamic systems to deal with system complexity and enable system intelligence. People of ISSL are committed to pursuing new ideas, perspectives and methods synergistically combining estimation, control, optimization, network systems and machine learning to address fundamental and applied problems arising from diverse practical systems. The past and ongoing work involves optimal estimation, distributed control, advanced battery management, robotics and environmental monitoring. The lab values research in the interest of general society, actively running research-integrated education and outreach events and forging collaboration with local communities and industry partners.
November 6, 2018: Mason received the ISSL Seminar Best Presentation Award. Congratulations, Mason!
October 21-23, 2018: Ning and Huazhen attended the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON'18). Ning successfully presented the paper "A new nonlinear double-capacitor model for rechargeable batteries". Congratulations, Ning!
October 15, 2018: Huazhen visited colleagues at Pennsylvania State University and gave a seminar talk about distributed battery management!
October 2, 2018: Ning received the ISSL Seminar Best Presentation Award. Congratulations, Ning!
September 25, 2018: Our patent "System and method for battery charging" was approved!
August 20, 2018: Huazhen was recognized as a Reviewer of the Year 2017 by ASME Journal of Dynamic Systems, Measurement and Control!
July 29, 2018: A paper first-authored by Chuan, "Energy-aware leader-follower tracking control for electric-powered multi-agent systems", will be forthcoming in Control Engineering Practice. Congratulations, Chuan!
July 21, 2018: Huazhen was appointed as a member of IEEE Control Systems Society Conference Editorial Board!
July 9 and 16, 2018: ISSL hosted two outreach sessions for over 30 middle and high school students attending KU's Summer Engineering Camp!
July 13, 2018: The paper “Robustifying the Kalman filter against measurement outliers: An innovation saturation mechanism” will be forthcoming at the 57th IEEE Conference on Decision and Control!
June 27-29, 2018: All the members of ISSL attended American Control Conference held at Milwaukee. It was a wonderful experience of seeing and learning! At the conference Chuan successfully presented his two papers, "Leader-follower tracking control for multi-agent systems based on input observer design" and "Battery-aware time/range-extended leader-follower tracking for a multi-agent system". Congratulations, Chuan!
June 24, 2018: Day 1 of the ISSL website. Every day is Day 1 as we enter into the future!
Observer-based distributed leader-follower tracking control: A new perspective and results
C. Yan and H. Fang
Energy-aware leader-follower tracking control for electric-powered multi-agent systems
C. Yan, H. Fang and H. Chao
Control Engineering Practice, 2018
Optimal multi-objective charging for lithium-ion battery packs: A hierarchical control approach
Q. Ouyang, J. Chen, J. Zheng and H. Fang
IEEE Transactions on Industrial Informatics, 2018
3-D temperature field reconstruction for a lithium-ion battery pack: A distributed Kalman filtering approach
N. Tian, H. Fang and Y. Wang
IEEE Transactions on Control Systems Technology, 2018
Nonlinear Bayesian estimation: From Kalman filtering to a broader horizon
H. Fang, N. Tian, Y. Wang, M. Zhou and M. A. Haile
IEEE/CAA Journal of Automatica Sinica, 2018
Optimal pulse-modulated lithium-ion battery charging: Algorithms and simulation
H. Fang, C. Depcik and V. Lvovich
Journal of Energy Storage, 2018
Optimal cell-to-cell balancing topology design for serially connected lithium-ion battery packs
Q. Ouyang, J. Chen, J. Zheng and H. Fang
IEEE Transactions on Sustainable Energy, 2018
Revisiting the state-of-charge estimation for lithium-ion batteries - A methodical investigation of the EKF approach
Y. Wang, H. Fang, L. Zhou and T. Wada
IEEE Control Systems, 2017