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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NewsMay 1, 2024: The paper first-authored by Amir Farakhor titled "A novel modular, reconfigurable battery energy storage system: Design, control, and experimentation" received the 2023 IEEE Transactions on Transportation Electrification Second-Place Prize Paper Award. Congratulations, Amir!
April 5, 2024: Amir Farakhor placed the first in the Graduate Student Poster Competition, and Hao Tu placed the second in the Graduate Student Presentation Competition at the GEA Annual Research Showcase. Congratulations, Amir and Hao!
March 19, 2024: Huazhen received the University Scholarly Achievement Award.
March 15, 2024: Two papers will be forthcoming in the IEEE International Conference on Industrial Cyber-Physical Systems: "Leveraging structures in fault diagnosis for lithium-ion battery systems" and "Model-free resilient controller design based on incentive feedback Stackelberg game and Q-learning", which are first authored by Amir Farakhor and Jiajun Shen. Congratulations, Amir and Jiajun!
January 22, 2024: Three papers will be forthcoming in American Control Conference: "System identification for lithium-ion batteries with nonlinear coupled electro-thermal dynamics via Bayesian optimization", " Motion planning for autonomous vehicles: When model predictive control meets ensemble Kalman smoothing", and "Optimal power management of battery energy storage systems via ensemble Kalman inversion". They are first-authored by Hao Tu, Iman Askari and Amir Farakhor. Congratulations to all!
January 16, 2024: Subarto Ghosh joined our lab as a Ph.D. student researcher. Welcome, Subarto!
December 14, 2023: Huazhen gave an invited talk at the Advanced Automotive Battery Conference.
December 7, 2023: Thomas Woodruff successfully passed the master's thesis defense with honors. Congratulations, Thomas!
November 1, 2023: Dr. Jiajun Shen joined us as a postdoctoral research fellow. Welcome, Dr. Shen!
November 1, 2023: Huazhen gave an invited talk at the Department of Mechanical & Industrial Engineering, Northeastern University.
October 30, 2023: The paper first-authored by Amir Farakhor "Scalable optimal power management for large-scale battery energy storage systems" will be forthcoming in IEEE Transactions on Transportation Electrification. Congratulations, Amir!
October 18, 2023: Huazhen gave a seminar talk at the Department of Electrical & Computer Engineering, National University of Singapore.
October 14, 2023: The co-authored paper "Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization" will be forthcoming in Energy and AI.
October 5, 2023: Hao Tu and Iman Askari presented at the Rising Star Sessions of the 2023 Modeling, Estimation and Control Conference. Congratulations!
August 21, 2023: Farzaneh Barat joined us as a Ph.D. student researcher. Welcome, Farzaneh!
July 13, 2023: The co-authored paper "Reliability-based sizing of electric propulsion system for turboelectric aircraft" will be forthcoming in the Annual Conference of the IEEE Industrial Electronics Society.
July 12, 2023: Nikhil Biju's first-authored paper "On the design of an equivalent circuit model for lithium-ion batteries operating across broad current ranges" was presented at the IFAC World Congress. Congratulations, Nikhil!
June 1, 2023: Amir Farakhor presented his paper "Distributed optimal power management for battery energy storage systems: A novel accelerated tracking ADMM approach" at American Control Conference. Congratulations, Amir!
May 13, 2023: Nikhil Biju received the Award of Outstanding Master’s Researcher in Mechanical Engineering. Congratulations, Nikhil!
May 10, 2023: Huazhen received the Miller Faculty Scholar Award from KU School of Engineering.
April 28, 2023: Nikhil Biju successfully passed the master's thesis defense with honors. Congratulations, Nikhil!
April 12, 2023: Amir Farakhor received the University of Kansas Tradition of Excellence Award. Congratulations, Amir!
April 7, 2023: Amir Farakhor, Iman Askari, and Hao Tu participated in the the Research Showcase of KU's School of Engineering. Amir and Iman took the first and second places in the Graduate Student Presentation Competition. Congratulations to all!
March 22, 2023: Amir Farakhor presented his work at the 20th Capitol Graduate Research Summit of Kansas as one of the six KU student representatives. Congratulations, Amir!
March 3, 2023: Amir Farakhor won the first place in the inaugural Student Research Symposium of the Institute for Information Sciences. Congratulations, Amir!
March 3, 2023: The paper first-authored by Nikhil Biju, "On the design of an equivalent circuit model for lithium-ion batteries operating across broad current ranges", will be forthcoming in the IFAC World Congress. Congratulations, Nikhil!
February 28, 2023: The paper first-authored by Yasen Wang, "Data augmentation-based statistical inference of diffusion processes", will be forthcoming in Chaos. Congratulations, Yasen!
February 24, 2023: Huazhen gave an online seminar talk for Fluence Energy.
February 22, 2023: The paper first-authored by Nikhil Biju, "BattX: An equivalent circuit model for lithium-ion batteries over broad current ranges", will be forthcoming in Applied Energy. Congratulations, Nikhil!
February 6, 2023: Ali Vaziri joined our lab as a Ph.D. student researcher. Welcome, Ali!
January 19, 2023: The paper first-authored by Amir Farakhor, "Distributed optimal power management for battery energy storage systems: A novel accelerated tracking ADMM approach", will be forthcoming in American Control Conference. Congratulations, Amir!
December 13, 2022: The co-authored paper "Simultaneous seismic input and state estimation with optimal sensor placement for building structures using incomplete acceleration measurements" will be forthcoming in Mechanical Systems & Signal Processing.
December 9-12, 2022: Hao Tu and Amir Farakhor gave talks at the 4th International Conference on Smart Power and Internet Energy Systems, and Hao received the Best Presentation in Session award. Congratulations, Hao and Amir!
December 8, 2022: Hao's talk on spatio-temporal thermal monitoring for lithium-ion batteries was presented at the IEEE Conference on Decision & Control. Congratulations, Hao!
December 8, 2022: Huazhen gave a seminar talk at the Department of Mechanical & Aerospace Engineering, Rutgers University.
December 6, 2022: Huazhen gave a plenary talk at the IEEE Electrical Power and Energy Conference.
November 14, 2022: The co-authored paper "Tensor network-based MIMO Volterra model for lithium-ion batteries" will be forthcoming in IEEE Transactions on Control Systems Technology.
November 6, 2022: The paper first-authored by Amir Farakhor, "A novel modular, reconfigurable battery energy storage system: Design, control, and experimentation", will be forthcoming in IEEE Transactions on Transportation Electrification. Congratulations, Amir!
November 1, 2022: The paper first-authored by Hao Tu, "Integrating physics-based modeling with machine learning for lithium-Ion batteries", will be forthcoming in Applied Energy. Congratulations, Hao!
October 2-4, 2022: Huazhen attended the Modeling, Estimation and Control Conference and gave a talk.
September 30, 2022: Huazhen gave a seminar talk at the Department of Mechanical, Industrial, and Systems Engineering, University of Rhode Island.
September 23, 2022: Huazhen gave an online talk at the Department of Mechanical Engineering, Temple University.
August 30, 2022: Sangwon Kang joined our lab as a master's student researcher. Welcome, Sangwon!
August 15, 2022: Mason Lieb successfully defended his M.Sc. project. Congratulations, Mason!
August 10, 2022: The co-authored survey paper, "Advancements in industrial cyber-physical systems: An overview and perspectives", will be forthcoming in IEEE Transactions on Industrial Informatics.
July 15, 2022: The paper first-authored by Hao Tu, "Spatio-temporal thermal monitoring for lithium-ion batteries via Kriged Kalman filtering", will be forthcoming in the IEEE Conference on Decision & Control. Congratulations, Hao!
June 15-17, 2022: Huazhen attended the IEEE Transportation Electrification Conference.
June 8-10, 2022: Iman Askari and Huazhen attended the American Control Conference. Iman presented his paper "Sampling-based nonlinear MPC of neural network dynamics with application to autonomous vehicle motion planning". Congratulations, Iman!
June 4, 2022: Huazhen gave a keynote talk at the 9th International Conference of Control, Dynamic Systems, and Robotics.
June 1, 2022: Hao Tu and Amir Farakhor successfully passed the PhD qualifying exam. Congratulations, Hao and Amir!
May 30, 2022: The paper first-authored by Chuan Yan, "High-order leader-follower tracking control under limited information availability", will be forthcoming in International Journal of Robust & Nonlinear Control. Congratulations, Chuan!
May 14, 2022: Huazhen received the Miller Professional Development Award from the KU School of Engineering.
May 1, 2022: The paper first-authored by Iman Askari, "Implicit particle filtering via a bank of nonlinear Kalman filters", will be forthcoming in Automatica. Congratulations, Iman!
April 26, 2022: Hao Tu gave a talk about integrating physics with machine learning for batteries at the Battery Modeling Webinar Series. Congratulations, Hao!
April 7-8, 2022: Amir Farakhor and Hao Tu made oral/poster presentation of their work at the KU School of Engineering's Research Showcase. Congratulations, Amir and Hao!
March 25, 2022: Huazhen gave an online talk at the Department of Aerospace Engineering & Engineering Mechanics, University of Cincinnati.
March 23, 2022: The paper first-authored by Yasen Wang "Data-driven discovery of stochastic differential equations" was published in Engineering. Congratulations, Yasen!
February 24, 2022: Huazhen gave an online invited talk at the Heat Transfer & Energy Systems Seminar Series of the Canadian Society for Mechanical Engineering.
January 31, 2022: The paper "Sampling-based nonlinear MPC of neural network dynamics with application to autonomous vehicle motion planning" will be forthcoming in American Control Conference. Congratulations, Iman and Thomas!
January 26, 2022: Chuan Yan successfully passed his Ph.D. defense, "Distributed tracking control design for leader-follower multi-agent systems". Congratulations, Dr. Yan!
January 26, 2022: SIAM News published our article "Lithium-ion battery modeling: when physics joins hands with machine learning", which introduces our recent work on physics-aware machine learning for lithium-ion batteries.
January 24, 2022: Nikhil Biju started his career at Gamma Technologies as Battery Application Engineer. Congratulations, Nikhil!
January 20, 2022: Huazhen gave an invited virtual talk at Mitsubishi Electric Research Labs.
January 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, Amir!
October 2, 2021: Hao Tu gave a talk on battery modeling via machine learning at the 6th SIAM Central States Section Annual Meeting. Congratulations, Hao!
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, Amir!
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, Thomas!
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, Hao!
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, Thomas!
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 PublicationsRemaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach
H. Tu, M. Borah, S. Moura, Y. Wang and H. Fang Integrated optimal control for fast charging and active thermal management of lithium-ion batteries in extreme ambient temperatures
Z. Lu, H. Tu, H. Fang, Y. Wang and S. Mou Model predictive inferential control of neural state-space models for autonomous vehicle motion planning
I. Askari, X. Tu, S. Zeng and H. Fang Data-driven discovery of linear dynamical systems from noisy data
Y. Wang, Y. Yuan, H. Fang and H. Ding Science China Technological Sciences, 2023 Scalable optimal power management for large-scale battery energy storage systems
A. Farakhor, D. Wu, Y. Wang and H. Fang IEEE Transactions on Transportation Electrification, 2023 BattX: An equivalent circuit model for lithium-ion batteries over broad current ranges
N. Biju and H. Fang Applied Energy, 2023 Data augmentation-based statistical inference of diffusion processes
Y. Wang, C. Cheng, H. Sun, J. Jin and H. Fang Chaos, 2023 A novel modular, reconfigurable battery energy storage system: Design, control, and experimentation
A. Farakhor, D. Wu, Y. Wang and H. Fang IEEE Transactions on Transportation Electrification, 2023 Tensor network-based MIMO Volterra model for lithium-ion batteries
Y. Hu, R. A. de Callafon, N. Tian and H. Fang IEEE Transactions on Control Systems Technology, 2023 Integrating physics-based modeling with machine learning for lithium-Ion batteries
H. Tu, S. Moura, Y. Wang and H. Fang Applied Energy, 2023 Simultaneous seismic input and state estimation with optimal sensor placement for building structures using incomplete acceleration measurements
S. Taher, J. Li and H. Fang Mechanical Systems & Signal Processing, 2023 Data-driven discovery of stochastic differential equations
Y. Wang, H. Fang, J. Jin, G. Ma, X. He, X. Dai, Z. Yue, C. Cheng, H. Zhang, D. Pu, D. Wu, Y. Yuan, J. Gonçalves, J. Kurths and H. Ding Engineering, 2022 Advancements in industrial cyber-physical systems: An overview and perspectives
K. Zhang, Y. Shi, S. Karnouskos, T. Sauter, H. Fang and A. W. Colombo IEEE Transactions on Industrial Informatics, 2022 High-order leader-follower tracking control under limited information availability
C. Yan, T. Yang and H. Fang International Journal of Robust & Nonlinear Control, 2022 Implicit particle filtering via a bank of nonlinear Kalman filters
I. Askari, M. Haile, X. Tu and H. Fang Automatica, 2022 Robust extended Kalman filtering for systems with measurement outliers
H. Fang, M. A. Haile and Y. Wang IEEE Transactions on Control Systems Technology, 2022 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, 2022 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 Observer-based distributed leader-follower tracking control: A new perspective and results
C. Yan and H. Fang International Journal of Control, 2021 SSUE: Simultaneous state and uncertainty estimation for dynamical systems
H. Geng, M. A. Haile and H. Fang International Journal of Robust & 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 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) |