| 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 | 263 | 2010 |
| 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 | 258 | 2017 |
| 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 | 189 | 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 | 128 | 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 | 107 | 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 | 97 | 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 | 85 | 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 | 83 | 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 | 81 | 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 | 80 | 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 | 76 | 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 | 73 | 2014 |
| 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 | 67 | 2013 |
| 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 | 65 | 2019 |
| 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 | 65 | 2018 |
| Optimal pulse-modulated Lithium-ion battery charging: Algorithms and simulation H Fang, C Depcik, V Lvovich Journal of Energy Storage 15, 359-367, 2018 | 53 | 2018 |
| On the asymptotic stability of minimum-variance unbiased input and state estimation H Fang, RA De Callafon Automatica 48 (12), 3183-3186, 2012 | 53 | 2012 |
| Integrating physics-based modeling with machine learning for lithium-ion batteries H Tu, S Moura, Y Wang, H Fang Applied Energy 329, 120289, 2023 | 52 | 2023 |
| 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 | 46 | 2010 |
| On parameter identification of an equivalent circuit model for lithium-ion batteries N Tian, Y Wang, J Chen, H Fang 2017 IEEE Conference on Control Technology and Applications (CCTA), 187-192, 2017 | 44 | 2017 |
