Huazhen Fang
Huazhen Fang
Mechanical Engineering, University of Kansas
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Advanced control in marine mechatronic systems: A survey
Y Shi, C Shen, H Fang, H Li
IEEE/ASME Transactions on Mechatronics 22 (3), 1121-1131, 2017
Kalman filter-based identification for systems with randomly missing measurements in a network environment
Y Shi, H Fang
International Journal of Control 83 (3), 538-551, 2010
Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon
H Fang, N Tian, Y Wang, MC Zhou, MA Haile
IEEE/CAA Journal of Automatica Sinica 5 (2), 401-417, 2018
Kalman filter‐based adaptive control for networked systems with unknown parameters and randomly missing outputs
Y Shi, H Fang, M Yan
International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2009
Optimal cell-to-cell balancing topology design for serially connected lithium-ion battery packs
Q Ouyang, J Chen, J Zheng, H Fang
IEEE Transactions on Sustainable Energy 9 (1), 350-360, 2017
State of charge estimation for lithium-ion batteries: An adaptive approach
H Fang, Y Wang, Z Sahinoglu, T Wada, S Hara
Control Engineering Practice 25, 45-54, 2014
Model-Based Condition Monitoring for Lithium-ion Batteries
T Kim, Y Wang, H Fang, Z Sahinoglu, T Wada, S Hara, W Qiao
Journal of Power Sources, 2015
On stable simultaneous input and state estimation for discrete‐time linear systems
H Fang, Y Shi, J Yi
International Journal of Adaptive Control and Signal Processing 25 (8), 671-686, 2011
Revisiting the state-of-charge estimation for lithium-ion batteries: A methodical investigation of the extended Kalman filter approach
Y Wang, H Fang, L Zhou, T Wada
IEEE Control Systems Magazine 37 (4), 73-96, 2017
Adaptive estimation of the state of charge for lithium-ion batteries: Nonlinear geometric observer approach
Y Wang, H Fang, Z Sahinoglu, T Wada, S Hara
IEEE Transactions on Control Systems Technology 23 (3), 948-962, 2014
Health-aware and user-involved battery charging management for electric vehicles: Linear quadratic strategies
H Fang, Y Wang, J Chen
IEEE Transactions on Control Systems Technology 25 (3), 911-923, 2016
Improved adaptive state-of-charge estimation for batteries using a multi-model approach
H Fang, X Zhao, Y Wang, Z Sahinoglu, T Wada, S Hara, RA de Callafon
Journal of Power Sources 254, 258–267, 2014
Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks
T Yang, D Wu, H Fang, W Ren, H Wang, Y Hong, KH Johansson
IEEE Transactions on Control of Network Systems 6 (3), 1124-1134, 2019
Simultaneous input and state estimation for nonlinear systems with applications to flow field estimation
H Fang, RA De Callafon, J Cortés
Automatica 49 (9), 2805-2812, 2013
Optimal multiobjective charging for lithium-ion battery packs: A hierarchical control approach
Q Ouyang, J Chen, J Zheng, H Fang
IEEE Transactions on Industrial Informatics 14 (9), 4243-4253, 2018
Integrating physics-based modeling with machine learning for lithium-ion batteries
H Tu, S Moura, Y Wang, H Fang
Applied Energy 329, 120289, 2023
Optimal pulse-modulated Lithium-ion battery charging: Algorithms and simulation
H Fang, C Depcik, V Lvovich
Journal of Energy Storage 15, 359-367, 2018
On the asymptotic stability of minimum-variance unbiased input and state estimation
H Fang, RA De Callafon
Automatica 48 (12), 3183-3186, 2012
Genetic adaptive state estimation with missing input/output data
H Fang, J Wu, Y Shi
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2010
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification, and Validation
N Tian, H Fang, J Chen, Y Wang
IEEE Transactions on Control Systems Technology, 2020
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