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2020 – today
- 2024
[c41]Amir Farakhor, Iman Askari, Di Wu, Huazhen Fang:
Optimal Power Management of Battery Energy Storage Systems via Ensemble Kalman Inversion. ACC 2024: 687-694- [c40]Iman Askari, Yebin Wang, Vedang M. Deshpande, Huazhen Fang:
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. ACC 2024: 1329-1334 - [c39]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. ACC 2024: 1946-1951 - [i25]Jiajun Shen, Fengjun Li, Morteza Hashemi, Huazhen Fang:
Model-free Resilient Controller Design based on Incentive Feedback Stackelberg Game and Q-learning. CoRR abs/2403.08948 (2024) - [i24]Zehui Lu
, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou:
Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures. CoRR abs/2404.04358 (2024) - [i23]Hao Tu, Manashita Borah, Scott J. Moura, Yebin Wang, Huazhen Fang:
Remaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach. CoRR abs/2404.14767 (2024) - [i22]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. CoRR abs/2405.20219 (2024) - [i21]Amir Farakhor, Di Wu, Pingen Chen, Junmin Wang, Yebin Wang, Huazhen Fang:
Economic Optimal Power Management of Second-Life Battery Energy Storage Systems. CoRR abs/2408.16197 (2024) - 2023
- [j21]Yangsheng Hu, Raymond A. de Callafon, Ning Tian, Huazhen Fang:
Tensor Network-Based MIMO Volterra Model for Lithium-Ion Batteries. IEEE Trans. Control. Syst. Technol. 31(4): 1493-1506 (2023) - [j20]Yang Shi, Stamatis Karnouskos, Thilo Sauter, Huazhen Fang:
Guest Editorial: New Advancements in Industrial Cyber-Physical Systems. IEEE Trans. Ind. Informatics 19(1): 712-715 (2023) - [j19]Kunwu Zhang, Yang Shi, Stamatis Karnouskos, Thilo Sauter, Huazhen Fang, Armando Walter Colombo:
Advancements in Industrial Cyber-Physical Systems: An Overview and Perspectives. IEEE Trans. Ind. Informatics 19(1): 716-729 (2023) - [c38]Amir Farakhor, Yebin Wang, Di Wu, Huazhen Fang:
Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach. ACC 2023: 3106-3112 - [c37]Yebin Wang, Chung-Wei Lin, Huazhen Fang, Tomoki Takegami:
Reliability-Based Sizing of Electric Propulsion System for Turboelectric Aircraft. IECON 2023: 1-7 - [c36]Xiaofeng Xiao, Wei Li, Yu Meng, Wen Hu, Huazhen Fang, Qing Gu, Dongpu Cao:
TP-GDM: Trajectory Prediction-based Game Decision-Making Model and A Case Study on Merging. ITSC 2023: 1201-1206 - [i20]Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
A Novel Modular, Reconfigurable Battery Energy Storage System: Design, Control, and Experimentation. CoRR abs/2301.05168 (2023) - [i19]Adrian Stein, Yebin Wang, Yusuke Sakamoto, Bingnan Wang, Huazhen Fang:
Application-Oriented Co-Design of Motors and Motions for a 6DOF Robot Manipulator. CoRR abs/2310.03132 (2023) - [i18]Iman Askari, Xumein Tu, Shen Zeng, Huazhen Fang:
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning. CoRR abs/2310.08045 (2023) - [i17]Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems. CoRR abs/2310.16333 (2023) - 2022
- [j18]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang:
Implicit particle filtering via a bank of nonlinear Kalman filters. Autom. 145: 110469 (2022) - [j17]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems With Measurement Outliers. IEEE Trans. Control. Syst. Technol. 30(2): 795-802 (2022) - [c35]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. ACC 2022: 2084-2090 - [c34]Hao Tu, Yebin Wang, Xianglin Li, Huazhen Fang:
Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering. CDC 2022: 5022-5028 - [c33]Huazhen Fang, Li Liu, Qing Gu, Yu Meng:
Driving Intention Recognition of Human Drivers in Mixed Traffic Flow. ITSC 2022: 153-157 - [i16]Iman Askari, Shen Zeng, Huazhen Fang:
Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing. CoRR abs/2205.04497 (2022) - [i15]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. CoRR abs/2205.04506 (2022) - [i14]Iman Askari, Mulugeta A. Haile, Xuemin Tu, Huazhen Fang:
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters. CoRR abs/2205.04521 (2022) - [i13]Chuan Yan, Tao Yang, Huazhen Fang:
High-Order Leader-Follower Tracking Control under Limited Information Availability. CoRR abs/2207.05284 (2022) - [i12]Thomas Woodruff, Iman Askari, Guanghui Wang, Huazhen Fang:
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach. CoRR abs/2207.13872 (2022) - [i11]Nikhil Biju, Huazhen Fang:
BattX: An Equivalent Circuit Model for Lithium-Ion Batteries Over Broad Current Ranges. CoRR abs/2211.05999 (2022) - 2021
- [j16]Chuan Yan, Huazhen Fang:
Observer-based distributed leader-follower tracking control: a new perspective and results. Int. J. Control 94(1): 39-48 (2021) - [j15]Ning Tian, Huazhen Fang, Jian Chen, Yebin Wang:
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification, and Validation. IEEE Trans. Control. Syst. Technol. 29(1): 370-384 (2021) - [j14]Quan Ouyang, Guotuan Xu, Huazhen Fang, Zhisheng Wang:
Fast Charging Control for Battery Packs With Combined Optimization of Charger and Equalizers. IEEE Trans. Ind. Electron. 68(11): 11076-11086 (2021) - [j13]Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control. IEEE Trans. Ind. Informatics 17(2): 1318-1330 (2021) - [c32]Hamidreza Movahedi, Ning Tian, Huazhen Fang, Rajesh Rajamani:
Hysteresis Compensation in State-of-Charge Estimation with a Nonlinear Double-Capacitor Li-Ion Battery Model. ACC 2021: 3108-3113 - [c31]Iman Askari, Shen Zeng, Huazhen Fang:
Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing. ACC 2021: 3532-3537 - [c30]Hao Tu, Scott J. Moura, Huazhen Fang:
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. ACC 2021: 4401-4407 - [c29]Thomas Woodruff, Iman Askari, Guanghui Wang, Huazhen Fang:
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach. ICRA 2021: 7365-7371 - [c28]Amir Farakhor, Huazhen Fang:
Dynamic Modeling and Online Parameter Identification of a Coupled-Inductor-Based DC-DC Converter with Leakage Inductance Effect Consideration. IECON 2021: 1-6 - [c27]Amir Farakhor, Huazhen Fang:
A Novel Modular, Reconfigurable Battery Energy Storage System Design. IECON 2021: 1-6 - [c26]Iven Mareels, Shally Gupta, Huazhen Fang, Ramneek Kaira, Bozenna Pasik-Duncan, Ralamatha Marimuthu, Tanishi Naik:
Universal access to technology. ISTAS 2021: 1-2 - [i10]Hao Tu, Scott J. Moura, Huazhen Fang:
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. CoRR abs/2103.11580 (2021) - [i9]Hao Tu, Scott J. Moura, Yebin Wang, Huazhen Fang:
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. CoRR abs/2112.12979 (2021) - 2020
- [i8]Ning Tian, Yebin Wang, Jian Chen, Huazhen Fang:
One-Shot Parameter Identification of the Thevenin's Model for Batteries: Methods and Validation. CoRR abs/2003.06504 (2020) - [i7]Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control. CoRR abs/2004.14321 (2020) - [i6]Hang Geng, Mulugeta A. Haile, Huazhen Fang:
SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems. CoRR abs/2010.10606 (2020)
2010 – 2019
- 2019
- [j12]Chuan Yan, Huazhen Fang:
A new encounter between leader-follower tracking and observer-based control: Towards enhancing robustness against disturbances. Syst. Control. Lett. 129: 1-9 (2019) - [j11]Tao Yang, Di Wu, Huazhen Fang, Wei Ren, Hong Wang, Yiguang Hong, Karl Henrik Johansson:
Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks. IEEE Trans. Control. Netw. Syst. 6(3): 1124-1134 (2019) - [j10]Ning Tian, Huazhen Fang, Yebin Wang:
3-D Temperature Field Reconstruction for a Lithium-Ion Battery Pack: A Distributed Kalman Filtering Approach. IEEE Trans. Control. Syst. Technol. 27(2): 847-854 (2019) - [c25]Ning Tian, Huazhen Fang, Yebin Wang:
Parameter Identification of the Nonlinear Double-Capacitor Model for Lithium-Ion Batteries: From the Wiener Perspective. ACC 2019: 897-902 - [c24]Chuan Yan, Huazhen Fang:
Distributed Leader-Follower Tracking Control for Multi-Agent Systems Subject to Disturbances. ACC 2019: 1848-1853 - [c23]Chuan Yan, Huazhen Fang:
Observer-Based Leader-Follower Tracking Control for High-Order Multi-Agent Systems with Limited Measurement Information. CDC 2019: 3904-3909 - [c22]Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Charging for Lithium-Ion Batteries via Explicit Model Predictive Control. ISIE 2019: 2001-2006 - [i5]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems with Measurement Outliers. CoRR abs/1904.00335 (2019) - [i4]Chuan Yan, Huazhen Fang:
Observer-Based Distributed Leader-Follower Tracking Control: A New Perspective and Results. CoRR abs/1904.00338 (2019) - [i3]Chuan Yan, Huazhen Fang:
A New Encounter Between Leader-Follower Tracking and Observer-Based Control: Towards Enhancing Robustness against Disturbances. CoRR abs/1905.04399 (2019) - [i2]Ning Tian, Huazhen Fang, Jian Chen, Yebin Wang:
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation. CoRR abs/1906.04150 (2019) - 2018
- [j9]Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile:
Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. IEEE CAA J. Autom. Sinica 5(2): 401-417 (2018) - [j8]Quan Ouyang, Jian Chen, Jian Zheng, Huazhen Fang:
Optimal Multiobjective Charging for Lithium-Ion Battery Packs: A Hierarchical Control Approach. IEEE Trans. Ind. Informatics 14(9): 4243-4253 (2018) - [c21]Chuan Yan, Huazhen Fang:
Leader-Follower Tracking Control for Multi-Agent Systems Based on Input Observer Design. ACC 2018: 478-483 - [c20]Chuan Yan, Huazhen Fang, Haiyang Chao:
Battery-Aware Time/Range-Extended Leader-Follower Tracking for a Multi-Agent System. ACC 2018: 3887-3893 - [c19]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism. CDC 2018: 6390-6395 - [c18]Ning Tian, Huazhen Fang, Jian Chen:
A New Nonlinear Double-Capacitor Model for Rechargeable Batteries. IECON 2018: 1613-1618 - 2017
- [j7]Huazhen Fang, Yebin Wang, Jian Chen:
Health-Aware and User-Involved Battery Charging Management for Electric Vehicles: Linear Quadratic Strategies. IEEE Trans. Control. Syst. Technol. 25(3): 911-923 (2017) - [c17]Ning Tian, Huazhen Fang:
Distributed Kalman filtering-based three-dimensional temperature field reconstruction for a lithium-ion battery pack. ACC 2017: 905-910 - [c16]Ning Tian, Yebin Wang, Jian Chen, Huazhen Fang:
On parameter identification of an equivalent circuit model for lithium-ion batteries. CCTA 2017: 187-192 - [i1]Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile:
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon. CoRR abs/1712.01406 (2017) - 2016
- [c15]Huazhen Fang, Di Wu, Tao Yang:
Cooperative management of a lithium-ion battery energy storage network: A distributed MPC approach. CDC 2016: 4226-4232 - [c14]Quan Ouyang, Jian Chen, Hao Liu, Huazhen Fang:
Improved cell equalizing topology for serially connected lithium-ion battery packs. CDC 2016: 6715-6720 - 2015
- [j6]Yebin Wang, Huazhen Fang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Adaptive Estimation of the State of Charge for Lithium-Ion Batteries: Nonlinear Geometric Observer Approach. IEEE Trans. Control. Syst. Technol. 23(3): 948-962 (2015) - [c13]Huazhen Fang, Raymond A. de Callafon:
Simultaneous input and state filtering: An ensemble approach. CDC 2015: 437-442 - 2014
- [c12]Huazhen Fang, Ratnesh K. Sharma, Rakesh Patil:
Optimal sensor and actuator deployment for HVAC control system design. ACC 2014: 2240-2246 - [c11]Huazhen Fang, Xin Zhao, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara, Raymond A. de Callafon:
State-of-charge estimation for batteries: A multi-model approach. ACC 2014: 2779-2785 - 2013
- [j5]Huazhen Fang, Raymond A. de Callafon, Jorge Cortés:
Simultaneous input and state estimation for nonlinear systems with applications to flow field estimation. Autom. 49(9): 2805-2812 (2013) - [j4]Raymond A. de Callafon, Huazhen Fang:
Adaptive regulation via weighted robust estimation and automatic controller tuning. Eur. J. Control 19(4): 266-278 (2013) - [c10]Huazhen Fang, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Adaptive estimation of state of charge for lithium-ion batteries. ACC 2013: 3485-3491 - [c9]Huazhen Fang, Raymond A. de Callafon:
Simultaneous input and state smoothing and its application to oceanographic flow field reconstruction. ACC 2013: 4705-4710 - [c8]Yebin Wang, Huazhen Fang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries. CDC 2013: 4405-4410 - [c7]Huazhen Fang, Xin Zhao, Raymond A. de Callafon:
Agile Bayesian filtering. CDC 2013: 7690-7695 - [c6]Huazhen Fang, Raymond A. de Callafon:
Adaptive regulation of time varying disturbances via weighted Robust Estimation and Automatic Controller Tuning. ECC 2013: 2891-2896 - 2012
- [j3]Huazhen Fang, Raymond A. de Callafon:
On the asymptotic stability of minimum-variance unbiased input and state estimation. Autom. 48(12): 3183-3186 (2012) - [c5]Huazhen Fang, Raymond A. de Callafon:
Stability analysis and application of Kalman filtering with irregularly sampled measurements. ACC 2012: 4795-4800 - [c4]Huazhen Fang, Jia Wang, Raymond A. de Callafon:
Nonlinear Gaussian filtering via radial basis function approximation. CDC 2012: 6042-6047 - 2011
- [c3]Huazhen Fang, Raymond A. de Callafon:
Nonlinear simultaneous input and state estimation with application to flow field estimation. CDC/ECC 2011: 6013-6018 - 2010
- [j2]Bo Yu, Huazhen Fang, Yang Lin, Yang Shi:
Identification of Hammerstein Output-Error Systems with Two-Segment Nonlinearities: Algorithm and Applications 1. Control. Intell. Syst. 38(4) (2010) - [j1]Yang Shi, Huazhen Fang:
Kalman filter-based identification for systems with randomly missing measurements in a network environment. Int. J. Control 83(3): 538-551 (2010)
2000 – 2009
Coauthor Index
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