Publications

  1. Esfahani MA, Wu K, Yuan S, Wang H. From local understanding to global regression in monocular visual odometry. International Journal of Pattern Recognition and Artificial Intelligence. 2019 May 23. Vol. 34, No. 01, 2055002 (2020)

  2. Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, Shenghai Yuan, “OriNet: Robust 3D Orientation Estimation with a Single Particular IMU”, IEEE Robotics and Automation Letters (RA-L), Accepted, 2020.

  3. Y. Pang, G. Hu, “Distributed Nash Equilibrium Seeking with Limited Cost Function Knowledge via A Consensus-Based Gradient-Free Method,” IEEE Transactions on Automatic Control, 2020.

  4. C. Sun, M. Ye, G. Hu, “Distributed Optimization for Two Types of Heterogeneous Multi-Agent Systems,” IEEE Transactions on Neural Networks and Learning Systems, 2020.

  5. Z. Feng, G. Hu, C.G. Cassandras, “Finite-Time Distributed Convex Optimization for Continuous-Time Multi-Agent Systems with Disturbance Rejection,” IEEE Transactions on Control of Network Systems, 7 (2), 686-698, 2020.

  6. Z. Feng, G. Hu, “Secure Cooperative Event-Triggered Control of Linear Multi-Agent Systems under DoS Attacks,” IEEE Transactions on Control Systems Technology, 28 (3), 741-752, 2020.

  7. D. Li, Y. Zhou, G. Hu, C.J. Spanos, “Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems,” IEEE Transactions on Automation Science and Engineering, 17 (2), 833-846, 2020.

  8. Y. Zhang, L. Sun, G. Hu, “Distributed Consensus-Based Multi-Target Filtering and Its Application in Formation-Containment Control,” IEEE Transactions on Control of Network Systems, 7 (1), 503-515, 2020.

  9. Y. Pang, G. Hu, “Randomized Gradient-Free Distributed Optimization Methods for a Multi-Agent System with Unknown Cost Function,” IEEE Transactions on Automatic Control, 65 (1), 333-340, 2020.

  10. M. Ye, G. Hu, S. Xu, “An Extremum Seeking-based Approach for Nash Equilibrium Seeking in N-coalition Noncooperative Games,” Automatica, 114, 108815, 2020.

  11. Wang, Y., Shan, M., Yue, Y., & Wang, D. (2020). Autonomous Target Docking of Nonholonomic Mobile Robots Using Relative Pose Measurements. IEEE Transactions on Industrial Electronics.

  12. Zhu, J., Peng, G., & Wang, D. (2020). Dual-Domain based Adversarial Defense with Conditional VAE and Bayesian Network. IEEE Transactions on Industrial Informatics.

  13. Wang, Y., Shan, M., & Wang, D. (2020). Motion Capability Analysis for Multiple Fixed-Wing UAV Formations with Speed and Heading Rate Constraints. IEEE Transactions on Control of Network Systems, 7(2), 977-989.

  14. W. Liu and Y. Xu*, “A Data-Driven Method for Online Health Estimation of Li-Ion Batteries with A Novel Energy-Based Health Indicator,” IEEE Trans. Energy Conversion, accepted in May 2020.

  15. B. Gou, Y. Xu*, Y. Xia, et al “An Online Data-driven Method for Simultaneous Diagnosis of IGBT and Current Sensor Fault of 3-Phase PWM Inverter in Induction Motor Drives,” IEEE Trans. Power Electronics, accepted in May 2020.

  16. S. Fang, Y. Xu*, S. Wen, et al "Data-Driven Robust Coordination of Generation and Demand-Side in Photovoltaic Integrated All-Electric Ship Microgrids," IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 1783-1795, May 2020.

  17. Q. Li, Y. Xu*, and C. Ren, “A Hierarchical Data-Driven Method for Event-based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems,” IEEE Trans. Industrial Informatics, accepted in Apr. 2020.

  18. Z. Li, Y. Xu*, S. Fang, Y. Wang, and X. Zheng, “Multi-objective Coordinated Energy Dispatch and Voyage Scheduling for a Multi-energy Ship Microgrid,” IEEE Trans. Industry Applications, vol. 56, no. 2, pp. 989-999, March/April 2020.

  19. Y. Wang, T.L. Nguyen, M. Syed, Y. Xu*, E. Guillo-Sansano, V.H. Nguye, G. Burt, and Q.T. Tran, “A Distributed Control Scheme of Microgrids in Energy Internet Paradigm and Its Multisite Implementation,” IEEE Trans. Industrial Informatics, accepted in Feb. 2020.
  20. Z. Li, Y. Xu*, X. Feng, and Q. Wu, “Optimal Deployment of Heterogeneous Energy Storage System in a Residential Multi-Energy Microgrid with Demand Side Management,” IEEE Trans. Industrial Informatics, accepted in Jan. 2020.

  21. H. Yuan and Y. Xu*, “Preventive-Corrective Coordinated Transient Stability Dispatch of Power Systems with Uncertain Wind Power,” IEEE Trans. Power Syst., accepted in Jan. 2020

  22. C. Ren and Y. Xu*, “Transfer Learning-based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults,” IEEE Trans. Power Syst., vol.35, no.1, pp.821-824, Jan.2020.

  23. Y. Wang, Y. Tang, Y. Xu*, Y.L. Xu, “A Distributed Control Scheme of Thermostatically Controlled Loads for Building-Microgrid Community,” IEEE Trans. Sustainable Energy, vol. 11, no. 1, pp. 350-360, Jan. 2020. - Web of Science highly cited paper

  24. S. Fang, B. Gou, Y. Wang, Y. Xu*, "Toward Future Green Maritime Transportation: An Overview of Seaport Microgrids and All-Electric Ships," in IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 207-219, Jan. 2020.
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  1. Rui Jiang, Xinghua Liu, Han Wang, and Shuzhi Sam Ge, “Secure Estimation for Attitude and Heading Reference Systems under Sparse Attacks”, IEEE Sensors Journal, 19(2), 641-649, 2019.

  2. R. Jiang, H. Zhou, H. Wang, and S. S. Ge, "Road-constrained geometric pose estimation for ground vehicles," IEEE Transactions on Automation Science and Engineering, Oct. 2019.

  3. Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang, "TDPP-Net: Achieving Three-Dimensional Path Planning via a Deep Neural Network Architecture", Neurocomputing, 357, 151-162, 2019.

  4. Rui Jiang, Hui Zhou, Shuzhi Sam Ge, Han Wang. "Maximum entropy searching", CAAI Transactions on Intelligence Technology, 4(1), 2019.

  5. Esfahani, M. A., Wu, K., Yuan, S., & Wang, H., DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments. Image and Vision Computing, 89, 120-130. 2019

  6. Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang, " BND*-DDQN: Learn to Steer Autonomously through Deep Reinforcement Learning", IEEE Transactions on Cognitive and Developmental Systems, accepted, 2019.

  7. Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu1, and Shenghai Yuan, “AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles”, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, doi: 10.1109/TITS.2019.2909064, 2019

  8. Xinghua Liu, Rui Jiang, Han Wang, Shuzhi Sam Ge, “Filter-based Secure Dynamic Pose Estimation for Autonomous Vehicles”, IEEE Sensors Journal, Accepted, 2019.

  9. Zhang, Handuo, Karunasekera Hasith, and Han Wang. "A consistent and long-term mapping approach for navigation." International Journal of Research in Advent Technology (IJRAT), accepted, 2019.

  10. Esfahani, M. A., Wang, H., Wu, K., & Yuan, S. “OriNet: Robust 3-D Orientation Estimation with a Single Particular IMU”. IEEE Robotics and Automation Letters, 5(2), 399-406. 2019

  11. Esfahani, M. A., Wu, K., Yuan, S., &Wang, H. (2019). “DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments”. Image and Vision Computing, 89, 120-130. 2019

  12. Karunasekera, Hasith, Han Wang, and Handuo Zhang. "Energy Minimization Approach for Negative Obstacle Region Detection." IEEE Transactions on Vehicular Technology 68.12 (2019): 11668-11678.

  13. Karunasekera, Hasith, Han Wang, and Handuo Zhang. "Multiple Object Tracking with Attention to Appearance, Structure, Motion and Size." IEEE Access 7 (2019): 104423-104434.

  14. X. Dong, Y. Li, C. Lu, G. Hu, Q. Li, Z. Ren, “Formation Tracking for UAV Swarm Systems with Switching Directed Topologies,” IEEE Transactions on Neural Networks and Learning Systems, 30 (12), 3674-3685, 2019.

  15. Z. Feng, G. Hu, “Connectivity-Preserving Flocking for Networked Lagrange Systems with Time-Varying Actuator Faults,” Automatica, 109, 108509, 2019.

  16. M. Ye, G. Hu, F.L. Lewis, L. Xie, “A Unified Strategy for Solution Seeking in Graphical N-coalition Noncooperative Games,” IEEE Transactions on Automatic Control, 64 (11), 4645-4652, 2019.

  17. Y. Hua, X. Dong, G. Hu, Q. Li, Z. Ren, “Distributed Time-Varying Output Formation Tracking for Heterogeneous Linear Multi-agent Systems with A Nonautonomous Leader of Unknown Input,” IEEE Transactions on Automatic Control, 64 (10), 4292-4299, 2019.

  18. H. Cai, G. Hu, “Dynamic Consensus Tracking of Uncertain Lagrangian Systems with a Switched Command Generator,” IEEE Transactions on Automatic Control, 64 (10), 4260-4267, 2019.

  19. D. Li, Y. Zhou, G. Hu, C.J. Spanos, “Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge with Data,” IEEE Transactions on Automation Science and Engineering, 16 (3), 1412-1425, 2019.

  20. H. Cai, G. Hu, “Distributed Robust Hierarchical Power Sharing Control of Grid-connected Spatially Concentrated AC Microgrid,” IEEE Transactions on Control Systems Technology, 27 (3), 1012-1022, 2019.

  21. B. Chen, G. Hu, D.W.C. Ho, and L. Yu, “A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem,” IEEE Transactions on Automatic Control, 64 (3), 1301-1308, 2019.

  22. L. Bai, M. Ye, C. Sun, G. Hu, “Distributed Economic Dispatch Control via Saddle Point Dynamics and Consensus Algorithms,” IEEE Transactions on Control Systems Technology, 27 (2), 898-905, 2019.

  23. B. Chen, G. Hu, D.W.C. Ho, L. Yu, “Distributed Kalman Filtering for Time-Varying Discrete Sequential Systems,” Automatica, 99, 228-236, 2019.

  24. Wang, Y., Shan, M., Yue, Y., & Wang, D. (2019). Vision-Based Flexible Leader–Follower Formation Tracking of Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments. IEEE Transactions on Control Systems Technology, 28(3), 1025-1033.

  25. Wang, Y., Wang, D., & Zhu, S. (2019). Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints. Automatica, 100, 82-89.

  26. Hong, J., Wang, D., & Guan, Y. (2019). Synergistic integrated design of an electrochemical mechanical polishing end-effector for robotic polishing applications. Robotics and Computer-Integrated Manufacturing, 55, 65-75.

  27. B. Gou, Y. Xu*, Y. Xia, G. Wilson, and S. Liu, “An Intelligent Time-adaptive Data-driven Method for Sensor Fault Diagnosis in Induction Motor Drive System,” IEEE Trans. Industrial Electronics, vol.66, no.12, pp.9817-9827, Dec. 2019.

  28. S. Fang, B. Gou, Y. Wang, Y. Xu*, et al "Optimal Hierarchical Management of Shipboard Multibattery Energy Storage System Using a Data-Driven Degradation Model," in IEEE Transactions on Transportation Electrification, vol. 5, no. 4, pp. 1306-1318, Dec. 2019.

  29. Y. Chi, Y. Xu*, and T. Ding, “Coordinated Var Planning for Voltage Stability Enhancement of a Wind-Energy Power System considering Multiple Resilience Indices,” IEEE Trans. Sustainable Energy, accepted in Nov. 2019. – most popular article of IEEE TSTE in Jan 2020.

  30. Y. Wang, M.H. Syed, E. Guillo-Sansano, Y. Xu*, and G.M. Burt, “Inverter-based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation,” IEEE Trans. Sustainable Energy, accepted in Nov. 2019.

  31. C. Ren and Y. Xu*, “A Fully Data-Driven Method based on Generative Adversarial Networks for Power System Dynamic Security Assessment with Missing Data,” IEEE Trans. Power Syst., vol. 34, no. 6, pp. 5044-5052, Nov. 2019.

  32. Y. Wang, T.L. Nguyen, Y. Xu*, et al, "Cyber-Physical Design and Implementation of Distributed Event-Triggered Secondary Control in Islanded Microgrids," in IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 5631-5642, Nov.-Dec. 2019.

  33. Y. Wang, Y. Xu, and Y. Tang, “Distributed Aggregation Control of Grid-Interactive Smart Buildings for Power System Frequency Support,” Applied Energy, vol. 251, pp. 569-576, Oct. 2019.

  34. Y. Wang, Y. Xu, Y. Tang, K. Liao, M. Syed, E. Guillo-Sansano, and G. Burt, “Aggregated Energy Storage for Power System Frequency Control: A Finite-Time Consensus Approach,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 3675-3686, Jul. 2019.

  35. Z. Li and Y. Xu*, “Temporally-Coordinated Optimal Operation of a Multi-energy Microgrid under Diverse Uncertainties,” Applied Energy, vol. 240, pp. 719-729, Apr. 2019.

  36. S. Fang, Y. Xu*, Z. Li, T. Zhao, and H. Wang, “Two-Step Multi-Objective Management of Hybrid Energy Storage System in All-Electric Ship Microgrids,” IEEE Trans. Vehicular Technology, vol. 68, no. 4, pp. 3361-3373, Apr. 2019.

  37. Z. Yan and Y. Xu*, “Data-driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method with Continuous Action Search,” IEEE Trans. Power Syst., vol. 34, no. 2, pp. 1653-1656, Mar. 2019. – most popular paper of IEEE TPWRS in Mar 2019.

  38. B.S.H. Chew, Y. Xu*, and Q. Wu, “Voltage Balancing for Bipolar DC Distribution Grids: A Power Flow based Binary Integer Multi-Objective Optimization Approach,” IEEE Trans. Power Systems, vol. 34, no.1, pp.28-39, Jan. 2019.
  1. Kart-Leong Lim, Han Wang, “MAP Approximation to the Variational Bayes Gaussian Mixture Model and Application”, Soft Computing, 22(10), 3287—3299, 2018

  2. Bok-Suk Shin, Xiaozheng Mou, Wei Mou, Han Wang. “Vision-based Navigation of an Unmanned Surface Vehicle with Object Detection and Tracking Abilities”. Machine Vision and Applications, 29(1):95-112, 2018

  3. Lim, Kart-Leong, and Han Wang. “Fast Approximation of Variational Bayes Dirchlet Process Mixture using the Maximization-Maximization Algorithm”. Int. Journal of Approximate Reasoning. 93 (2018): 153-177.

  4. Xiaozheng Mou, and Han Wang. "Wide-Baseline Stereo-Based Obstacle Mapping for Unmanned Surface Vehicles". Sensors,18(4):1085, 2018.

  5. Han Wang, Rui Jiang, Handuo Zhang and Shuzhi Sam Ge, Heading Reference Assisted Pose Estimation for Ground Vehicles, IEEE Transactions on Automation Science and Engineering, 16(1), 448-458, 2018

  6. Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang, "Learn to steer through deep reinforcement learning", Sensors 18(11): 3650, 2018.

  7. Mohammad, A. E. K., Hong, J., & Wang, D. (2018). Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach. Robotics and Computer-Integrated Manufacturing, 49, 54-65.

  8. Wang, Y., Wang, D., Yang, S., & Shan, M. (2018). A practical leader–follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments. IEEE Transactions on Control Systems Technology, 27(4), 1685-1693.

  9. K. Liao and Y. Xu*, “A Robust Load Frequency Control Scheme based on Second-Order Sliding Mode and Extended Disturbance Observer,” IEEE Trans. Industrial Informatics, vol.14, no. 7, pp. 3076-3086, Jul. 2018.

  10. Z. Li and Y. Xu*, “Optimal coordinated energy dispatch for a multi-energy microgrid in grid-connected and islanded modes,” Applied Energy, vol.210, pp. 974-986, Jan. 2018. – Web of Science highly cited paper

  11. Y. Xu*, M. Yin, Z.Y. Dong, R. Zhang, and D.J. Hill, “Robust dispatch of high wind power-penetrated power systems against transient instability,” IEEE Trans. Power Syst., vol. 33, no. 1, pp. 174-186, Jan. 2018.
  1. Yang, H., Wang, Y., Zhao, H., Zhu, J., & D. Wang (2020). Real-time Traffic Incident Detection Using an Autoencoder Model. In 2020 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC).

  2. Zhao, H., Yang, H., Wang, Y., Wang, D. & Su, R. (2020). Attention Based Graph Bi-LSTM Networks for Traffic Forecasting. In 2020 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC).

  3. W. Liu, Y. Xu, Y. Wang, and X. Feng, “Fuzzy-logic based Adaptive Control of Distributed Energy Storage Systems for Simultaneous V/f Regulation,” Proc. IEEE PES General Meeting, Montreal, Canada, Aug. 2020. (Best Paper Award)

  4. W. Yao, Y. Wang, Y. Xu, R.T. Naayagi, "Communication Time-Delay Stability Margin Analysis of the Islanded Microgrid under Distributed Secondary Control," Proc. IEEE PES General Meeting, Montreal, Canada, Aug. 2020.
  1. Yang, H., Wang, Y., & Wang, D. (2019). A Convolutional Neural Network (CNN) Based Traffic Incident Detection Method for Urban Networks on Microscopic Simulation Platform. ITS World Congress 2019.

  2. Liu, Q., Mo, Y., Mo, X., Lv, C., Mihankhah, E., & Wang, D. (2019). Secure pose estimation for autonomous vehicles under cyber attacks. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 1583-1588).

  3. Zhu, J., Peng, G., Fu, W., & Wang, D. (2019). Defense against Adversarial Vision Perturbations via Subspace Diagnosis. In 2019 Chinese Control Conference (CCC) (pp. 8665-8670).

  4. Wang, Y., Shan, M., & Wang, D. (2019). A Comparative Analysis on Rigid and Flexible Formations of Multiple Differential-Drive Mobile Robots: A Motion Capability Perspective. In 2019 18th European Control Conference (ECC) (pp. 2077-2082).

  5. B. Gou, Y. Xu, et al “Remaining Useful Life Prediction for Lithium-ion Battery Using Ensemble Learning Method,” Proc. IEEE PES General Meeting, Atlanta, US, Aug. 2019. (Best Paper Award)

  6. Q. Li, Y. Xu, C. Ren, J. Zhao, “A Hybrid Data-Driven Method for Online Power System Dynamic Security Assessment with Incomplete PMU Measurements,” Proc. IEEE PES General Meeting, Atlanta, US, Aug. 2019.

  7. W. Yao, Y. Wang, Y. Xu, T.L. Nguyen, and X. Feng, “Distributed Multi-Functional Finite-Time Secondary Control in Cyber-Physical Microgrid,” Proc. IEEE PES General Meeting, Atlanta, US, Aug. 2019.

  8. H. Yuan and Y. Xu, “Preventive Transient Stability Control of Power Systems with High Level Wind Power,” Proc. IEEE PES General Meeting, Atlanta, US, Aug. 2019.
  1. Yang, H., Wang, Y., & Wang, D. (2018). Dynamic Origin-Destination Estimation without Historical Origin-Destination Matrices for Microscopic Simulation Platform in Urban Network. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (pp. 2994-2999).

  2. W. Yao, Y. Xu, Y. Tang, et al, “An Improved Control Scheme for Single-Phase Buck-type Differential Rectifier with Low DC Voltage Ripple and AC Current Distortion,” Proc. 10th IEEE Energy Conversion Congress and Exposition (ECCE), Portland, Sep. 2018.

  3. W. Yao, Y. Yang, Y. Xu, et al, “Active Damping of LCL Filters with All-pass Filters Considering Grid Impedance Variations and Parameter Drifts,” Proc. 10th IEEE Energy Conversion Congress and Exposition (ECCE), Portland, Sep. 2018.

  4. C. Ren, Y. Xu, and Y. Zhang, “A Multiple Randomized Learning based Ensemble Model for Power System Dynamic Security Assessment”, Proc. IEEE PES General Meeting, Portland, US, Aug. 2018.

  5. Y. Chi and Y. Xu, “A State-of-the-Art Literature Survey of Power Distribution System Resilience Assessment”, Proc. IEEE PES General Meeting, Portland, US, Aug. 2018.

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2011