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冯朝

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个人简介

冯朝，博士，分别于2014 年6 月与2020 年6 月在武汉大学动力与机械学院获得工学学士与工学博士学位，自2019 年1月至2020 年3 月，通过国家留学基金(CSC) 作为联合培养博士生在新加坡国立大学(National University of Singapore) 电子...

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研究领域

在研项目：

  1. 国家自然科学基金青年科学基金项目，2025.01~2027.12，主持

  2. 湖北省自然科学基金计划青年项目，2024.03~2026.03，主持

  3. 广东省基础与应用基础研究基金省市联合基金项目，2023.11~2026.10，主持

  4. 武汉市知识创新专项项目-曙光计划，2023.06~2025.06，主持

已结题项目：

  1. 深圳市基础研究计划，2017.05~2019.05，项目骨干

  2. 新加坡科技研究局(A*STAR)，2019.01~2020.03，项目骨干

  3. 澳门科学技术发展基金(FDCT)重大项目，2020.10~2022.10，参与

  4. 国家自然科学基金面上项目，2014.01~2017.12，项目骨干


期刊论文 (第一/通讯作者）

  1. Li, Y., Ye, T., Ling, J., Xiao, X., & Feng, Z.*. (2024). A novel F-shaped linear guiding mechanism based compliant positioning stage with restricted parasitic motion. Precision Engineering, 88, 674-685. 

  2. Zuo, C., Feng, Z.*, & Xiao, X. (2024). CCMD-SLAM: Communication-Efficient Centralized Multi-Robot Dense SLAM with Real-Time Point Cloud Maintenance. IEEE Transactions on Instrumentation and Measurement. 73, 7504812.

  3. Zhang, H., Zhang, X.H., Feng, Z.*, & Xiao, X.H* (2024). Heterogeneous Multi-Robot Cooperation With Asynchronous Multi-Agent Reinforcement Learning. IEEE Robotics and Automation Letters, 9(1), 159-166.

  4. Yang, S., Gao, X., Feng, Z.*, & Xiao, X.H* (2023). Learning Pose Dynamical System for Contact Tasks under Human Interaction. Actuators (Vol. 12, No. 4, p. 179). 

  5.  Feng, Z., Liang, W.Y., Ling, J., Xiao, X.H., Tan, K.K., & Lee, T.H (2022). Precision Force Tracking Control of a Surgical Device Interacting With a Deformable Membrane. IEEE/ASME Transactions on Mechatronics,  27(6), 5327 - 5338. 

  6.  Feng, Z., Liang, W.Y., Ling, J., Xiao, X.H., Tan, K.K.,& Lee, T.H (2022). Adaptive Robust Impedance Control for an Ear Surgical Device with Soft Interaction. IEEE/ASME Transactions on Mechatronics,  27(3), 1784-1795. 

  7. Feng, Z., Ming, M., Ling, J., Xiao, X.H., Yang, Z. X., & Wan, F. (2022). Fractional Delay Filter based Repetitive Control for Precision Tracking: Design and Application to a Piezoelectric Nanopositioning Stage. Mechanical Systems and Signal Processing, 164, 108249. 

  8. Feng, Z., Liang, W.Y., Ling, J., Xiao, X.H., Tan, K.K., & Lee, T.H. (2020). Integral Terminal Sliding Mode based Adaptive Integral Backstepping Control for Precision Motion of a Piezoelectric Ultrasonic Motor. Mechanical Systems and Signal Processing, 144, 106856. 

  9. Feng, Z., Ling, J.,Ming, M., Liang, W.Y., Tan, K.K., & Xiao, X.H. (2020). Signal-transformation-based Repetitive Control of Spiral Trajectory for Piezoelectric Nanopositioning Stages, IEEE/ASME Transactions on Mechatronics, 25(3), 1634-1645.

  10.  Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2019). Integrated Modified Repetitive Control with Disturbance Observer of Piezoelectric Nanopositioning Stages for High-speed and Precision Motion. Journal of Dynamic Systems, Measurement, and Control, 141(8), 081006. 

  11. Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2018). A Model-data Integrated Iterative Learning Controller for Flexible Tracking with Application to a Piezo Nanopositioner. Transactions of the Institute of Measurement and Control, 40(10), 3201-3210. 

  12.  Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2017). Data-based Double-feedforward Controller Design for a Coupled Parallel Piezo Nanopositioning Stage. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 231(10), 881-892. 

  13.  Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2017). High-bandwidth and Flexible Tracking Control for Precision Motion with Application to a Piezo Nanopositioner. Review of Scientific Instruments, 88(8), 085107. 

  14. 冯朝, 凌杰, 明敏, & 肖晓晖. (2018). 融合迭代学习与干扰观测器的压电微动平台精密运动控制. 机器人, (6), 825-834. 


会议论文 (第一/通讯作者）

  1. Li, Y., Ye, T., Ling, J., Xiao, X., & Feng, Z.* (2023, July). Design, Optimization and Analysis of a Novel Compliant Guiding Mechanism for Piezo-Driven Vibration Microinjection. In 2023 International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 19-24). IEEE.(Best Paper Finalist)

  2. Feng, Z., Ling, J., & Shen, Y. (2022, August). Discrete-Time Integral Terminal Sliding Mode based Repetitive Control for Periodic Motion Tracking. In 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (pp. 1031-1036). 

  3.  Feng, Z., Ling, J., Wan. F., & Yang, Z. X. (2021, May). Iterative Learning Enhanced Integral Terminal Sliding Mode Control for Precision Motion Systems. 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS'21) (pp. 778-783).

  4. Liang, W. Y#., Feng, Z.#(equal contribution), Wu, Y., Gao, J., Ren, Q., & Lee, T. H. (2020, August). Robust Force Tracking Impedance Control of an Ultrasonic Motor-actuated End-effector in a Soft Environment. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7716-7722).

  5. Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2019, August). Model-assisted Extended State Observer based Repetitive Control for High Precision Tracking of Piezoelectric Nanopositioning Stages. In 38th Chinese Control Conference (CCC2019).

  6. Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2016, August). Data-driven Feedforward Decoupling Filter Design for Parallel Nanopositioning Stages. In International Conference on Intelligent Robotics and Applications (ICIRA) (pp. 709-720). Springer, Cham.


合著论文 

  1. Duan, Y., Ling, J., Feng, Z., Ye, T., Sun, T., & Zhu, Y. (2024). A Survey of Needle Steering Approaches in Minimally Invasive Surgery. Annals of Biomedical Engineering, 52(6), 1492-1517.

  2. Duan, Y., Ling, J.  Feng, Z., Yao, D., & Zhu, Y. (2024). Development of a Base-Actuated Three-Rhombus Configured Remote Center of Motion Mechanism for Lumbar Puncture. Journal of Mechanisms and Robotics, 16(5). 

  3. Wang, Z., Wong, C. M., Wang, B., Feng, Z., Cong, F., & Wan, F. (2023). Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

  4. 何思宇,鲁浩林,冯朝 & 肖晓晖. (2023).基于平行度误差补偿的多通道双晶单色器运动控制[J].光学精密工程, 31(09):1335-1346. 

  5. Ling, J., Feng, Z., Chen, L., Zhu, Y., & Pan, Y. (2023). Neural network-based iterative learning control of a piezo-driven nanopositioning stage. Precision Engineering, 81, 112-123.

  6. Ling, J., Ye, T., Feng, Z., Zhu, Y., Li, Y., & Xiao, X.H (2022). A Survey on Synthesis of Compliant Constant force/torque Mechanisms. Mechanism and Machine Theory, 176, 104970.

  7. Ling, J., Chen, L., Feng, Z., & Zhu, Y. (2022). Development and test of a high speed pusher-type inchworm piezoelectric actuator with asymmetric driving and clamping configuration. Mechanism and Machine Theory, 176, 104997.

  8. He, S., Lu, H., Feng, Z., & Xiao, X.H. Position Tracking for Multi-Channel Double-Crystal Monochromator Scanning Based on Iterative Learning Control. Actuators (Vol. 11, No. 7, p. 177). 

  9. Chen, L., Zhu, Y., Ling, J., & Feng, Z. (2022). Theoretical Modeling and Experimental Evaluation of a Magnetostrictive Actuator with Radial-nested Stacked Configuration. Nonlinear Dynamics, 1-17. 

  10. Ren, Q., Zhu, W., Feng, Z., & Liang, W.Y. (2021). Learning-Based Force Control of a Surgical Robot for Tool-Soft Tissue Interaction. IEEE Robotics and Automation Letters, 6(4), 6345-6352. 

  11.  Ming, M., Liang, W.Y., Feng, Z., Ling, J., Al Mamun, A., & Xiao, X.H. (2021). PID-type Sliding Mode-based Adaptive Motion Control of a 2-DOF Piezoelectric Ultrasonic Motor Driven Stage. Mechatronics, 76, 102543.

  12.  Ling, J., Feng, Z., Kang, X., & Xiao, X.H. (2021). Bandwidth Enhancement in Damping Control for Piezoelectric Nanopositioning Stages with Load Uncertainty: Design and Implementation. Journal of Vibration and Control, 27(11-12), 1382-1394.

  13.  Chen, L., Zhu, Y.C., Ling, J., & Feng, Z. (2021). Development and Test of a Two-dimensional Stacked Terfenol-D Actuator with High Bandwidth and Large Stroke. IEEE/ASME Transactions on Mechatronics, 26(4), 1951-1959.

  14.  Qiu, C.C., Ling, J., Zhang, Y.K., Ming, M., Feng, Z., & Xiao, X.H. (2021). A Novel Cooperative Compensation Method to Compensate for Return Stroke of Stick-slip Piezoelectric Actuators. Mechanism and Machine Theory, 159, 104254. 

  15. Ye, T.T., Ling, J., Kang, X., Feng, Z., & Xiao, X.H. (2021). A Novel Two-stage Constant Force Compliant Microgripper. Journal of Mechanical Design, 143(5). 

  16. Ling, J., Feng, Z., Zheng, D., Yang, J., Yu, H., & Xiao, X.H. (2021). Robust Adaptive Motion Tracking of Piezoelectric Actuated Stages using Online Neural-network-based Sliding Mode Control. Mechanical Systems and Signal Processing, 150, 107235. 

  17. Ming, M., Feng, Z.,Ling, J., & Xiao, X.H. (2020).Disturbance Observer based Model Prediction Control with Real-time Modified Reference for a Piezo-actuated Nanopositioning Stage. Transactions of the Institute of Measurement and Control, 42(4), 813-822. 

  18. Ling, J., Feng, Z., Ming, M., Guo, Z., & Xiao, X.H. (2019). Signal Transformed Internal Model Control for Non-raster Scanning of Piezo-actuated Nanopositioning Stages. International Journal of Control, Automation and Systems,18(8), 1915-1925. 

  19. Ling, J., Feng, Z., Ming, M., & Xiao, X.H. (2019). Model Reference Adaptive Damping Control for a Nanopositioning Stage with Load Uncertainties. Review of Scientific Instruments, 90(4), 045101. 

  20. Ling, J., Rakotondrabe, M., Feng, Z., Ming, M., & Xiao, X.H. (2019). A Robust Resonant Controller for High-Speed Scanning of Nanopositioners: Design and Implementation. IEEE Transactions on Control Systems Technology. 28(3), 1116-1123. 

  21. Ming, M., Ling, J., Feng, Z., & Xiao, X.H. (2018). A Model Prediction Control Design for Inverse Multiplicative Structure based Feedforward Hysteresis Compensation of a Piezo Nanopositioning Stage. International Journal of Precision Engineering and Manufacturing, 19(11), 1699-1708. 

  22. Ming, M., Feng, Z., Ling, J., & Xiao, X. H. (2018). Hysteresis Modelling and Feedforward Compensation of Piezoelectric Nanopositioning stage with a Modified Bouc‐Wen Model. Micro & Nano Letters, 13(8), 1170-1174. 

  23. Ling, J., Feng, Z., Yao, D., & Xiao, X.H. (2018). Non-linear Contour Tracking using Feedback PID and Feedforward Position Domain Cross-coupled Iterative Learning Control. Transactions of the Institute of Measurement and Control, 40(6), 1970-1982. 

  24. Ling, J., Feng, Z., Ming, M., & Xiao, X.H. (2018). Damping Controller Design for Nanopositioners: A Hybrid Reference Model Matching and Virtual Reference Feedback Tuning Approach. International Journal of Precision Engineering and Manufacturing, 19(11), 1699-1708.

  25. Ling, J., Feng, Z., Ming, M., & Xiao, X.H. (2018). Precision Contour Tracking using Feedback-feedforward Integrated Control for a 2-DOF Manipulation System. International Journal of Robotics & Automation, 33(3), 276-283.

  26. 凌杰, 明敏, 冯朝, & 肖晓晖. (2017). 多轴运动系统非线性轮廓重复跟踪的主从交叉耦合迭代学习控制. 自动化学报, 43(12), 2127-2140. 

  27. Ming, M., Liang, W.Y., Ling, J., Feng, Z., Al Mamun, A., & Xiao, X.H. (2020, October). Composite Integral Sliding Mode Control with Neural Network-based Friction Compensation for a Piezoelectric Ultrasonic Motor. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 4397-4402). IEEE.

  28. Ling, J., Ye, T.T., Feng, Z., Ming, M., & Xiao, X.H. (2019, October). Damping Controller Design for Triangular Scanning of a Third-Order Nanopositioning Stage. In 2019 19th International Conference on Control, Automation and Systems (ICCAS) (pp. 412-417). IEEE.

  29. Ming, M., Feng, Z., Ling, J., & Xiao, X.H. (2019, October). Disturbance Observer based Model Prediction Control for a 2-DOF Nanopositioning Stage. In IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 5211-5216). IEEE.

  30. Ling, J., Feng, Z., Ming, M., Guo, Z., & Xiao, X.H. (2018, July). Integrating Damping Control with Iterative Learning Control for Fast and Precise Scanning of Nanopositioners: A TITO Design. In 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 183-188). IEEE. 

  31. Ling, J., Feng, Z., Yao, D., & Xiao, X.H. (2016, July). A Position Domain Iteration Learning Control for Contour Tracking with Application to a Multi-axis Motion Testbed. In 2016 American Control Conference (ACC) (pp. 1247-1252). IEEE. 

  32. Ling, J., Feng, Z., & Xiao, X.H. (2015, August). A Position Domain Cross-coupled Iteration Learning Control for Contour Tracking in Multi-axis Precision Motion Control Systems. In International Conference on Intelligent Robotics and Applications (pp. 667-679). Springer, Cham. 

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