Welcome!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.
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NewsJanuary 1, 2022: Huazhen started to serve as Associate Editor for IEEE Control Systems Letters.
December 7-9, 2021: Hao Tu's work on integrating physics-based modeling with machine learning for lithium-ion battery modeling was presented as a poster at the International Advanced Automotive Battery Conference.
October 15, 2021: Amir Farakhor presented his two first-authored papers on reconfigurable battery systems and DC-DC converter parameter identification at the 47th Annual Conference of the IEEE Industrial Electronics Society. Congratulations!
October 2, 2021: Hao Tu gave a talk on battery modeling via machine learning at the 6th SIAM Central States Section Annual Meeting. Congratulations!
September 17, 2021: Two papers first-authored by Amir Farakhor, "A novel modular, reconfigurable battery energy storage system design" and "Dynamic modeling and online parameter identification of a coupled-inductor-based DC-DC converter with leakage inductance effect consideration" will be forthcoming in the 47th Annual Conference of the IEEE Industrial Electronics Society. Congratulations!
July 19-20, 2021: Iman Askari and Huazhen gave invited talks at mini-symposia at SIAM Conference on Control and Its Applications.
June 18, 2021: The co-authored paper "Modeling of lithium-ion batteries via tensor-network-based Volterra model" will be forthcoming at the inaugural Modeling, Estimation, and Control Conference.
June 14, 2021: Thomas Woodruff started his career journey at Honeywell Federal Manufacturing & Technologies. Congratulations!
June 14, 2021: Huazhen started to serve as Associate Editor for IEEE Transactions on Industrial Electronics.
June 9, 2021: Hao Tu presented his poster "Integrating electrochemical modeling with machine learning for lithium-ion batteries" online at the Advanced Energy Conference. Congratulations!
June 3: 2021: Thomas Woodruff presented his paper "Model predictive control of nonlinear latent force models: A scenario-based approach" online at the IEEE International Conference on Robotics and Automation. Congratulations!
June 3, 2021: Huazhen gave an online seminar talk at the School of Mathematical Sciences, Shanghai Jiao Tong University.
May 27-28, 2021: Iman Askari and Hao Tu presented their papers, "Nonlinear model predictive control based on constraint-aware particle filtering/smoothing" and "Integrating electrochemical modeling with machine learning for lithium-ion batteries", at the virtual American Control Conference. Congratulations, Iman and Hao!
May 13, 2021: Mason Proctor successfully defended his thesis "State of charge estimation for rechargeable batteries based on the nonlinear double-capacitor model". Congratulations, Mason!
April 27, 2021: Hao Tu took the second place in KU School of Engineering's Research Showcase. Congratulations, Hao!
April 1, 2021: Huazhen gave an online seminar at the Department of Mechanical & Aerospace Engineering, University at Buffalo!
March 6, 2021: The co-authored paper "Hysteresis compensation and nonlinear observer design for state-of-charge estimation using a nonlinear double-capacitor Li-ion battery model" will be forthcoming in IEEE/ASME Transactions on Mechatronics!
February 28, 2021: The paper "Model predictive control of nonlinear latent force models: A scenario-based approach", first-authored by Thomas Woodruff and second-authored by Iman Askari, will be forthcoming in IEEE International Conference on Robotics and Automation. Congratulations, Thomas and Iman!
February 26, 2021: Huazhen gave an online seminar at the Department of Mechanical Engineering, University of New Hampshire!
February 1, 2021: Amir Farakhor joined us as a Ph.D. student researcher. Welcome, Amir!
January 24, 2021: Three papers will be forthcoming in American Control Conference: "Nonlinear model predictive control based on constraint-aware particle filtering/smoothing" first-authored by Iman Askari, "Integrating electrochemical modeling with machine learning for lithium-ion batteries" first authored by Hao Tu, and "Hysteresis compensation and nonlinear observer design for state-of-charge estimation using a nonlinear double-capacitor Li-ion battery model" co-authored by Ning Tian. Congratulations to all!
January 21, 2021: Iman Askari successfully passed the PhD qualifying exam. Congratulations!
December 12-13, 2020: The 59th IEEE CDC Workshop on Advanced Battery Management took place successfully!
December 1, 2020: Ning Tian successfully defended his PhD thesis "A study of computationally efficient advanced battery management: Modeling, identification, estimation and control". Congratulations, Dr. Tian!
October 14, 2020: The co-authored paper "Earthquake input and state estimation for buildings using absolute floor accelerations" will be forthcoming in Earthquake Engineering and Structural Dynamics!
September 25, 2020: The co-authored paper "Fast charging control for battery packs with combined optimization of charger and equalizers" will be forthcoming in IEEE Transactions on Industrial Electronics!
September 18, 2020: Huazhen gave a virtual talk at the William Maxwell Reed Seminar Series of the Department of Mechanical Engineering, University of Kentucky!
September 6, 2020: The paper "Robust extended Kalman filtering for systems with measurement outliers" will be forthcoming in IEEE Transactions on Control Systems Technology!
September 3, 2020: Chuan Yan joined Zyno Medical as an Embedded Systems Engineer. Congratulations, Chuan!
August 20, 2020: Mason Lieb joined us as a master's student researcher. Welcome, Mason!
August 3, 2020: Ning Tian started his career as a Battery Engineer at Romeo Power Technology. Congratulations, Ning - the best has yet to come!
May 3, 2020: Mason Proctor presented his paper "Battery state-of-charge estimation based on the nonlinear double-capacitor model and extended Kalman filter" virtually at IEEE Green Technology Conference!
April 21, 2020: The paper "SSUE: Simultaneous state and uncertainty estimation for dynamical systems" will be forthcoming in International Journal of Robust and Nonlinear Control!
February 26, 2020: The co-authored paper "Health-aware battery charging via iterative nonlinear optimal control syntheses" will be forthcoming in the 21st IFAC World Congress to be held in Berlin, Germany, 12-17 July 2020. We also organized an Open Invited Track on Emerging Challenges and Directions of Advanced Battery Management at the conference to bring researchers together to discuss the open problems and outlook in this exciting area.
February 17, 2020: The paper first-authored by Ning Tian, "Real-time optimal lithium-ion battery charging based on explicit model predictive control", will be forthcoming in IEEE Transactions on Industrial Informatics. Congratulations, Ning!
February 10, 2020: The paper first-authored by Ning Tian, "One-shot parameter identification of an equivalent circuit model for batteries: Methods and validation", will be forthcoming in Journal of Energy Storage. Congratulations, Ning!
January 31, 2020: Nikhil Biju joined our lab as a master's student researcher. Welcome, Nikhil!
January 27, 2020: Mason Proctor embarked on his journey as a Battery Test Engineer at Spear Power Systems, continuing to pursue his passion for battery systems. Congratulations, Mason!
January 24, 2020: The paper first-authored by Ning Tian, “Nonlinear double-capacitor model for rechargeable batteries: Modeling, identification and validation”, will be forthcoming in IEEE Transactions on Control Systems Technology. Congratulations, Ning!
January 21, 2020: Babak Badnava and Hao Tu joined our lab as PhD student researchers. Welcome, Babak and Hao!
January 3, 2020: Huazhen visited Shenzhen University and gave a seminar!
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Recent PublicationsIntegrating physics-based modeling with machine learning for lithium-Ion batteries
H. Tu, S. Moura, Y. Wang and H. Fang Robust extended Kalman filtering for systems with measurement outliers
H. Fang, M. A. Haile and Y. Wang IEEE Transactions on Control Systems Technology, 2021 Hysteresis compensation and nonlinear observer design for state-of-charge estimation using a nonlinear double-capacitor Li-ion battery model
H. Movahedi, N. Tian, H. Fang and R. Rajamani IEEE/ASME Transactions on Mechatronics, 2021 Nonlinear double-capacitor model for rechargeable batteries: Modeling, identification and validation
N. Tian, H. Fang, J. Chen and Y. Wang IEEE Transactions on Control Systems Technology, 2021 Real-time optimal lithium-ion battery charging based on explicit model predictive control
N. Tian, H. Fang and Y. Wang IEEE Transactions on Industrial Informatics, 2021 Earthquake input and state estimation for buildings using absolute floor accelerations
S. A. Taher, J. Li and H. Fang Earthquake Engineering and Structural Dynamics, 2021 Fast charging control for battery packs with combined optimization of charger and equalizers
Q. Ouyang, G. Xu, H. Fang and Z. Wang IEEE Transactions on Industrial Electronics, 2021 SSUE: Simultaneous state and uncertainty estimation for dynamical systems
H. Geng, M. A. Haile and H. Fang International Journal of Robust and Nonlinear Control, 2021 One-shot parameter identification of the Thevenin's model for batteries: Methods and validation
N. Tian, Y. Wang, J. Chen and H. Fang Journal of Energy Storage, 2020 A new encounter between leader-follower tracking and observer-based control: Towards enhancing robustness against disturbances
C. Yan and H. Fang Systems & Control Letters, 2019 Distributed energy resources coordination over time-varying directed communication networks
T. Yang, D. Wu, H. Fang, W. Ren, H. Wang, Y. Hong, K. H. Johansson IEEE Transactions on Control of Network Systems, 2019 Observer-based distributed leader-follower tracking control: A new perspective and results
C. Yan and H. Fang International Journal of Control, 2019 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, 2019 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 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 (cover article) |
