A review of visual SLAM methods for autonomous driving vehicles J Cheng, L Zhang, Q Chen, X Hu, J Cai
Engineering Applications of Artificial Intelligence 114, 104992, 2022
171 2022 Multiple model predictive control for a hybrid proton exchange membrane fuel cell system Q Chen, L Gao, RA Dougal, S Quan
Journal of Power Sources 191 (2), 473-482, 2009
128 2009 Model predictive control for the receiving-side DC–DC converter of dynamic wireless power transfer Z Zhou, L Zhang, Z Liu, Q Chen, R Long, H Su
IEEE Transactions on Power Electronics 35 (9), 8985-8997, 2020
126 2020 A new well-posed algorithm to recover implied localvolatility L Jiang, Q Chen, L Wang, JE Zhang
Quantitative Finance 3 (6), 451, 2003
94 2003 Model predictive control for three-phase four-leg grid-tied inverters Q Chen, X Luo, L Zhang, S Quan
IEEE Access 5, 2834-2841, 2017
65 2017 Optimal power management for fuel cell–battery full hybrid powertrain on a test station C Xie, JM Ogden, S Quan, Q Chen
International Journal of Electrical Power & Energy Systems 53, 307-320, 2013
65 2013 Magnetic Tunnel Junctions Based on Ferroelectric Tunnel Barriers Y Wei, S Matzen, T Maroutian, G Agnus, M Salverda, P Nukala, Q Chen, ...
Physical Review Applied 12 (3), 031001, 2019
62 2019 A Simple High-Performance Current Control Strategy for V2G Three-Phase Four-Leg Inverter With LCL Filter C Tan, Q Chen, K Zhou, L Zhang
IEEE Transactions on Transportation Electrification 5 (3), 695-701, 2019
48 2019 Data driven NARMAX modeling for PEMFC air compressor Z Deng, Q Chen, L Zhang, Z Fu
International Journal of Hydrogen Energy 45 (39), 20321-20328, 2020
36 2020 Current sharing in parallel fuel cell generation system based on model predictive control R Long, S Quan, L Zhang, Q Chen, C Zeng, L Ma
International Journal of Hydrogen Energy 40 (35), 11587-11594, 2015
33 2015 Frequency-adaptive repetitive control for three-phase four-leg V2G inverters C Tan, Q Chen, L Zhang, K Zhou
IEEE Transactions on Transportation Electrification 7 (4), 2095-2103, 2021
32 2021 Model predictive control for electrochemical impedance spectroscopy measurement of fuel cells based on neural network optimization L Zhang, Z Zhou, Q Chen, R Long, S Quan
IEEE Transactions on Transportation Electrification 5 (2), 524-534, 2019
32 2019 L p Solutions of BSDEs with Stochastic Lipschitz ConditionJ Wang, Q Ran, Q Chen
International Journal of Stochastic Analysis 2007 (1), 078196, 2007
30 2007 Control strategy of hybrid power system for Fuel Cell Electric Vehicle based on neural network optimization CJ Xie, SH Quan, Q Chen
2008 IEEE international conference on automation and logistics, 753-757, 2008
28 2008 Indirect obstacle control problem for semilinear elliptic variational inequalities Q Chen
SIAM Journal on Control and Optimization 38 (1), 138-158, 1999
28 1999 Control oriented data driven linear parameter varying model for proton exchange membrane fuel cell systems Z Deng, Q Chen, L Zhang, Y Zong, K Zhou, Z Fu
Applied Energy 277, 115540, 2020
26 2020 Degradation prediction of PEMFCs using stacked echo state network based on genetic algorithm optimization Z Deng, Q Chen, L Zhang, K Zhou, Y Zong, H Liu, J Li, L Ma
IEEE Transactions on Transportation Electrification 8 (1), 1454-1466, 2021
25 2021 Multiobjective optimization of safety, comfort, fuel economy, and power sources durability for FCHEV in car-following scenarios L Zhu, F Tao, Z Fu, H Sun, B Ji, Q Chen
IEEE Transactions on Transportation Electrification 9 (1), 1797-1808, 2022
24 2022 Optimal control of the obstacle in a quasilinear elliptic variational inequality Y Ye, Q Chen
Journal of mathematical analysis and applications 294 (1), 258-272, 2004
24 2004 Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory H Li, Q Chen, L Zhang, L Liu, P Xiao
Applied Energy 344, 121294, 2023
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