Publications
Publications (Total 45)
Journal Articles
[J20] X. Zhou and J. Wang, “Variable-Exponent Lyapunov Function-Based Attracting-Manifold Adaptive Control Design with Application to Ground Vehicle Lateral Guidance,” IEEE Transactions on Intelligent Vehicles. DOI: 10.1109/TIV.2024.3401214. Link_J20
[J19] X. Zhou, J. Maweu, and J. Wang, “Adaptive Artificial Neural Network-based Control Through Attracting-Manifold Design and Lipschitz Constant Projection,” ASME Letters in Dynamic Systems and Control. DOI: 10.1115/1.4063474. Link_J19
[J18] X. Zhou, H. Shen, Z. Wang, H. Ahn, and J. Wang, “Driver-Centric Lane-Keeping Assistance System Design: A Noncertainty-Equivalent Neuro-Adaptive Control Approach,” IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2023.3236245. Link_J18
[J17] H. Ahn, H. Shen, X. Zhou, Y. Kung, J. Maweu, and J. Wang, “Velocity and Energy Prediction of Medium-Duty Electric Trucks Considering Road Features and Traffic Conditions,” ASME Journal of Dynamic Systems, Measurement, and Control. DOI: 10.1115/1.4065595. Link_J17
[J16] Z. Wang, X. Zhou, A. Cosio, and J. Wang, "Ground Vehicle Lane-Keeping Assistance System via Differential Flatness Output Feedback Control and Algebraic Derivative Estimation," Control Engineering Practice. DOI: 10.1016/j.conengprac.2023.105576. Link_J16
[J15] H. Ahn, H. Shen, X. Zhou, Y. Kung, and J. Wang, "State of Charge Estimation of Lithium-Ion Batteries Using Physics-Informed Transformer for Limited Data Scenarios," ASME Letters in Dynamic Systems and Control. DOI: 10.1115/1.4063995. Link_J15
[J14] H. Shen, X. Zhou, H. Ahn, M. Lamantia, P. Chen, and J Wang, “Personalized Velocity and Energy Prediction for Electric Vehicles with Road Features in Consideration,” IEEE Transactions on Transportation Electrification. DOI: 10.1109/TTE.2023.3241098. Link_J14
[J13] X. Zhou, Z. Wang, H. Shen, and J. Wang, “Systematic Synthesis of A Class of Smooth Parameter Projection Operators For Stable Adaptive Systems,” ASME Letters in Dynamic Systems and Control. DOI: 10.1115/1.4055082. Link_J13
[J12] X. Zhou, Z. Wang, and J. Wang, "Automated Vehicle Path Following: A Non-Quadratic-Lyapunov-Function-based Model Reference Adaptive Control Approach with C∞-Smooth Projection Modification," IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2022.3182928. Link_J12
[J11] X. Zhou, Z. Wang, H. Shen, and J. Wang, "A Mixed L1/H2 Robust Observer with An Application to Driver Steering Torque Estimation for Autopilot-Human Shared Steering," ASME Journal of Dynamic Systems, Measurement, and Control. DOI: 10.1115/1.4054262. Link_J11
[J10] H. Shen, Z. Wang, X. Zhou, M. Lamantia, K. Yang, P. Chen, and J. Wang, "Electric Vehicle Velocity and Energy Consumption Predictions Using Transformer and Markov-Chain Monte Carlo," IEEE Transactions on Transportation Electrification. DOI: 10.1109/TTE.2022.3157652. Link_J10
[J9] Z. Wang, X. Zhou, and J. Wang, "Extremum-Seeking-based Adaptive Model-Free Control and Its Application to Automated Vehicle Path Tracking," IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2022.3146727. Link_J9
[J8] X. Zhou, Z. Wang, H. Shen, and J. Wang, "Robust Adaptive Path-Tracking Control of Autonomous Ground Vehicles with Considerations of Steering System Backlash," IEEE Transactions on Intelligent Vehicles. DOI: 10.1109/TIV.2022.3146085. Link_J8
[J7] Z. Wang, X. Zhou, H. Shen, and J. Wang, “Algebraic Driver Steering Model Parameter Identification,” ASME Journal of Dynamic Systems, Measurement, and Control. DOI: 10.1115/1.4053431. Link_J7
[J6] X. Zhou, Z. Wang, H. Shen, and J. Wang, “Yaw-Rate-Tracking-Based Automated Vehicle Path Following: An MRAC Methodology With A Closed-Loop Reference Model,” ASME Letters in Dynamic Systems and Control. DOI: 10.1115/1.4053242. Link_J6
[J5] H. Shen, X. Zhou, Z. Wang, and J. Wang, “State of Charge Estimation For Lithium-ion Battery Using Transformer With Immersion and Invariance Adaptive Observer,” Journal of Energy Storage. DOI: 10.1016/j.est.2021.103768. Link_J5
[J4] J. Shi, B. Xu, X. Zhou, and J. Hou, “A Cloud-Based Energy Management Strategy For Hybrid Electric City Bus Considering Real-Time Passenger Load Prediction,” Journal of Energy Storage. DOI: 10.1016/j.est.2021.103749. Link_J4
[J3] X. Zhou, Z. Wang, and J. Wang, “Automated Ground Vehicle Path-Following: A Robust Energy-to-Peak Control Approach,” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2021.3126467. Link_J3
[J2] Z. Wang, X. Zhou, and J. Wang, “An Algebraic Evaluation Framework for a Class of Car-Following Models,” IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2021.3113788. Link_J2
[J1] X. Zhou, Z. Wang, and J. Wang, “Popov-H∞ Robust Path-Tracking Control of Autonomous Ground Vehicles With Consideration of Sector-Bounded Kinematic Nonlinearity,” ASME Journal of Dynamic Systems, Measurement, and Control. DOI: 10.1115/1.4051466. Link_J1
Book Chapters
[B1] Z. Wang, X. Zhou, and J. Wang, "Cyber-Physical Systems for Human-Centric Automated Vehicles," as a chapter in the book Cyber Physical Systems: Enabling Methodologies and Applications, CRC Press (In Press)
Conference Papers
[C22] X. Zhou, H. Ahn, Y. Kung, H. Shen, and J. Wang, "Adaptive Control of Vehicle Steering-by-Wire System with Varying-Degree Lyapunov Function and Deterministic Robust Control Augmentation," Proceedings of the 2024 American Control Conference (ACC 2024), Toronto, Canada, July 2024. (In Press)
[C21] H. Ahn, H. Wang, J. Park, X. Zhou, J. Jiao, and J. Wang, “Operational Cost Optimization of Delivery Fleets Consisting of Mobile Robots and Electric Trucks,” Proceedings of the 2024 IEEE Intelligent Vehicles Symposium (IV 2024), Jeju Island, Korea, June 2024. (In Press)
[C20] X. Zhou, H. Shen, Z. Wang, H. Ahn, Y. Kung, and J. Wang, “Ground Vehicle Generalized Forces and Moment Governor Design via Noncertainty-Equivalent Adaptive Prescribed Performance Control,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328080. Link_C20
[C19] X. Zhou, H. Ahn, H. Shen, Y. Kung, Z. Wang, and J. Wang, “Reducing Conservativeness of Polytopic Linear-Parameter-Varying Robust Vehicle Sideslip Angle Observer Through Minimum-Area Convex Quadrilateral Design,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328147. Link_C19
[C18] X. Zhou, Z. Wang, and J. Wang, “Adaptive Path-Following Control for Ground Vehicles Using a Switching Non-Quadratic Lyapunov Function,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328096. Link_C18
[C17] X. Zhou, Z. Wang, A. Cosio, H. Shen, H. Ahn, Y. Kung, M. Sample, M. Moore, A. Gold, H. Ross, K. Chin, and J. Wang, “A Novel Instrumental System for Immersive Simulation-based Driver-in-the-Loop Vehicular Technology Research and Validation,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328070. Link_C17
[C16] Y. Kung, X. Zhou, H. Shen, H. Ahn, and J. Wang, “Convolutional Neural Networks for Interpreting Unclustered Radar Data in Automotive Applications,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328081. Link_C16
[C15] H. Shen, X. Zhou, H. Ahn, Y. Kung, and J. Wang, “Lithium-Ion Battery State of Charge Estimation by 𝐿1 Robust Observer,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328033. Link_C15
[C14] H. Ahn, X. Zhou, H. Shen, Y. Kung, and J. Wang, “Remaining Driving Range Estimation of Medium-Duty Electric Trucks During Delivery,” Proceedings of the 2023 IEEE International Automated Vehicle Validation Conference, Austin, Texas, Oct. 2023. DOI: 10.1109/IAVVC57316.2023.10328131. Link_C14
[C13] X. Zhou, H. Shen, Z. Wang, H. Ahn, Y. Kung, and J. Wang, “Personalized Ground Vehicle Lane-Keeping Assist System Design: An Adaptive Sliding Mode Control Formulation with L1+α Reachability,” Proceedings of the 2023 Modeling, Estimation and Control Conference (MECC 2023), Lake Tahoe, NV, Oct. 2023. DOI: 10.1016/j.ifacol.2023.12.097. Link_C13
[C12] H. Shen, X. Zhou, A. Yu, L. Maxavier, P. Chen, and J. Wang, "An Experimental Comparison of Physics-based and Machine-Learning-based Electric Vehicle Energy Consumption Estimation Methods," Proceedings of the 2023 IFAC World Congress 2023 (IFAC-WC 2023), Yokohama, Japan, July. 2023. DOI: 10.1016/j.ifacol.2023.10.045. Link_C12
[C11] X. Zhou, H. Shen, Z. Wang, H. Ahn, and J. Wang, "Linear Motor Command Tracking: A Novel Immersion and Invariance Adaptive Control Method With Arctangent-Function-based Parameter Projection," Proceedings of the 2022 Modeling, Estimation and Control Conference (MECC 2022), Jersey City, NJ, USA, Oct. 2022. DOI: 10.1016/j.ifacol.2022.11.195. Link_C11 (Best Student Paper Award Finalist)
[C10] H. Shen, X. Zhou, Z. Wang, H. Ahn, L. Maxavier, P. Chen, and J. Wang, "Electric Vehicle Energy Consumption Estimation with Consideration of Longitudinal Slip Ratio and Machine-Learning-Based Powertrain Efficiency," Proceedings of the 2022 Modeling, Estimation and Control Conference (MECC 2022), Jersey City, NJ, USA, Oct. 2022. DOI: 10.1016/j.ifacol.2022.11.177. Link_C10
[C9] Y. Zhou, Z. Wang, X. Zhou, H. Shen, H. Ahn, and J. Wang, "Extremum-Seeking-based Ultra-local Model Predictive Control and Its Application to Electric Motor Speed Regulation," Proceedings of the 2022 Modeling, Estimation and Control Conference (MECC 2022), Jersey City, NJ, USA, Oct. 2022. DOI: 10.1016/j.ifacol.2022.11.161. Link_C9
[C8] H. Ahn, Z. Wang, H. Shen, X. Zhou, and J. Wang, "A Two-Stage Genetic Algorithm for Battery Sizing and Route Optimization of Medium-Duty Electric Delivery Fleets," Proceedings of the 2022 Modeling, Estimation and Control Conference (MECC 2022), Jersey City, NJ, USA, Oct. 2022. DOI: 10.1016/j.ifacol.2022.11.160. Link_C8 (ASME Automotive and Transportation Systems Best Paper Award)
[C7] X. Zhou, H. Shen, Z. Wang, and J. Wang, "Individualizable Vehicle Lane Keeping Assistance System Design: A Linear-Programming-based Model Predictive Control Approach," Proceedings of the 2022 Modeling, Estimation and Control Conference (MECC 2022), Jersey City, NJ, USA, Oct. 2022. DOI: 10.1016/j.ifacol.2022.11.235. Link_C7
[C6] X. Zhou, Z. Wang, H. Shen, and J. Wang, "A Biquadratic-Lyapunov-Function-based Adaptive Control Methodology with Application to Automated Ground Vehicle Path Tracking," Proceedings of the 2022 American Control Conference (ACC 2022), Atlanta, GA, USA, Jun. 2022. DOI: 10.23919/ACC53348.2022.9867878. Link_C6
[C5] X. Zhou, H. Shen, Z. Wang, and J. Wang, "Self-scheduled L1 Robust Vehicular Sideslip Angle Estimation," Proceedings of the 2022 American Control Conference (ACC 2022), Atlanta, GA, USA, Jun. 2022. DOI: 10.23919/ACC53348.2022.9867707. Link_C5
[C4] H. Shen, X. Zhou, Z. Wang, and J. Wang, "State of Charge Estimation for Lithium-ion Batteries in Electric Vehicles by Transformer Neural Network and L1 Robust Observer," Proceedings of the 2022 American Control Conference (ACC 2022), Atlanta, GA, USA, Jun. 2022. DOI: 10.23919/ACC53348.2022.9867247. Link_C4
[C3] X. Zhou, Z. Wang, A. Cosio, and J. Wang, “Parameterized Derivative-free Optimization Approach for Car-following Model Calibration,” Proceedings of the 2021 Modeling, Estimation and Control Conference (MECC 2021), Austin, TX, USA, Oct. 2021. DOI: 10.1016/j.ifacol.2021.11.282. Link_C3
[C2] Z. Wang, X. Zhou, and J. Wang, “Algebraic Car-Following Model Parameter Identification,” Proceedings of the 2021 Modeling, Estimation and Control Conference (MECC 2021), Austin, TX, USA, Oct. 2021. DOI: 10.1016/j.ifacol.2021.11.280. Link_C2
[C1] X. Zhou, Z. Wang, and J. Wang, “Driver Steering Torque Estimation via Robust Generalized H2 Filtering for Human-Automation Shared Driving,” Proceedings of the 2021 Modeling, Estimation and Control Conference (MECC 2021), Austin, TX, USA, Oct. 2021. DOI: 10.1016/j.ifacol.2021.11.285. Link_C1 (ASME Automotive and Transportation Systems Best Paper Award Finalist)
Patents
[P2] X. Zhou, J. Shi, and M. Tian, “Fuzzy Logic Based and Machine Learning Enhanced Vehicle Dynamics Determination,” U.S. Patent, US 2021/0139028 A1, May 2021. Counterpart patent applications filed in several countries around the world (Assigned to Chongqing Jinkang Powertrain New Energy Co., Ltd.) Link_P2
[P1] J. Shi, X. Zhou, and M. Tian, “Fuzzy Logic Based Traction Control for Electric Vehicles,” U.S. Patent Application, US 2021/0197778 A1, July 2021. Counterpart patent applications filed in several countries around the world (Assigned to SF Motors, Inc.) Link_P1