Publications

Journal:

  1. Wang, G., Zhang, F., Chen, Y.*, Wong, G. and Chen, H.* (2023) An Active Contour Model Based on Local Pre-piecewise Fitting Bias Corrections for Fast and Accurate Segmentation , IEEE Transactions on Instrumentation and Measurement, Early Access.

  2. Guan, S., Zhuang, Z., Tao, H.*, Chen, Y., Stojanovic, V. and Paszke, W. (2023) Feedback-Aided PD-Type Iterative Learning Control for Time-Varying Systems with Non-Uniform Trial Lengths, Transactions of the Institute of Measurement and Control, Early Access.

  3. Tao H., Qiu J., Chen, Y., Stojanovic, V.*and Cheng L. (2023) Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion. Journal of the Franklin Institute, Volume: 360, Issue: 2 , 1454-1477

  4. 李欣麟, 陈逸阳, (2022) 动态文字编排设计的背景与探究, 艺术工作, 2022 (06), 101-105

  5. Wang, L., Dong L., Yang, R.* and Chen, Y.* (2022) Dynamic ILC for Linear Repetitive Processes Based on Different Relative Degrees. Mathematics, Volume: 10, Issue: 24, 4824.

  6. Zhuang, Z., Tao, H.*, Chen, Y., Stojanovic, V.* and Paszke, W. (2022) An Optimal Iterative Learning Control Approach for Linear Systems with Nonuniform Trial Lengths under Input Constraints, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access.

  7. Cheng C., Duan S., He H.*, Li X.* and Chen, Y. (2022) A Generalized Robot Navigation Analysis Platform (RoNAP) with Visual Results Using Multiple Navigation Algorithms. Sensors, Volume: 22, Issue: 23 , 9036.

  8. Yang C., Wu L., Chen, Y.*, Wang G. and Weng G.* (2022) An Active Contour Model Based on Retinex and Pre-Fitting Reflectance for Fast Image Segmentation. Symmetry, Volume: 14, Issue: 11 , 2343.

  9. Cui, S., Chen, Y.* and Li, X.* (2022) A Robust and Efficient UAV Path Planning Approach for Tracking Agile Targets in Complex Environments. Machines, Volume: 10, Issue: 10, 931.

  10. Wang, L., Dong L., Chen, Y.*, Wang K.* and Gao F. (2022) Iterative Learning Control for Actuator Fault Uncertain Systems. Symmetry, Volume: 14, Issue: 10 , 1969.

  11. Zhou, C., Tao, H., Chen, Y.*, Stojanovic, V.* and Paszke, W. (2022) Robust Point-to-Point Iterative Learning Control for Constrained Systems: A Minimum Energy Approach . International Journal of Robust and Nonlinear Control, Volume: 32, Issue: 18, pp: 10139-10161.

  12. Ge, P., Chen, Y.*, Wang, G.* and Wong, G. (2022) An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation, Expert Systems With Applications, Volume: 210, 118493 .

  13. Chen, Y., Cheng, C., Zhang, Y.*, Li, X.* and Sun, L. (2022) A Neural Network-Based Navigation Approach for Autonomous Mobile Robot Systems . Applied Sciences, Volume: 12, Issue: 15 , 7796.

  14. Chen, Y., Jiang, W.* and Charalambous T. (2022) Machine learning based iterative learning control for non-repetitive time-varying systems . International Journal of Robust and Nonlinear Control, Early Access.

  15. Li, J., Yang, Y., Zhu, G., Sun, C., Chen, Y.*, Wang, K.* and Shi, S., (2022) The Anisotropic Electrochemical Machinability of Laser Cladding Deposited Ti6Al4V Alloy in NaCl Solution, Materials, Volume: 15, Issue: 10 , 3642.

  16. Chen, Y., Chu, B.* and Freeman, C. T. (2022) Iterative Learning Control for Robotic Path Following With Trial-Varying Motion Profiles, IEEE/ASME Transactions on Mechatronics, Volume: 27, Issue: 6 , pp: 4697-4706.

  17. Ge, P., Chen, Y.*, Wang, G. and Wong, G. (2022) A hybrid active contour model based on pre-fitting energy and adaptive functions for fast image segmentation, Pattern Recognition Letters, Volume: 158, pp: 71-79.

  18. Zhuang, Z., Tao, H.*, Chen, Y.*, Stojanovic, V. and Paszke, W. (2022) Iterative Learning Control for Repetitive Tasks with Randomly Varying Trial Lengths using Successive Projection, International Journal of Adaptive Control and Signal Processing, Volume: 36, Issue: 5, pp: 1196-1215.

  19. Chen, Y., Chu, B.* and Freeman, C. T. (2022) Iterative Learning Control for Path Following Tasks with Performance Optimization, IEEE Transactions on Control Systems Technology, Volume: 30, Issue: 1 , pp: 234-246.

  20. Chen, Y.*, Zhou, Y. and Zhang, Y. (2021) Machine Learning-Based Model Predictive Control for Collaborative Production Planning Problem with Unknown Information, Electronics, Volume: 10, Issue: 15 , 1818.

  21. Jiang, W.*, Chen, Y. and Charalambous T. (2021) Consensus of General Linear Multi-Agent Systems with Heterogeneous Input and Communication Delays. IEEE Control Systems Letters, Volume: 5, Issue: 3 , pp: 851-856.

  22. Tao, H., Li J., Chen Y.*, Stojanovicc V., and Yang H. (2021) Robust Point-to-Point Iterative Learning Control with Trial-Varying Initial Conditions. IET Control Theory and Applications, Volume: 14, Issue: 19, pp: 3344-3350.

  23. Chen, Y., Chu, B.* and Freeman, C. T. (2020) Generalized Iterative Learning Control using Successive Projection: Algorithm, Convergence and Experimental Verification. IEEE Transactions on Control Systems Technology, Volume: 28, Issue: 6 , pp: 2079-2091.

  24. Tao, H., Wang P., Chen Y., Stojanovicc V.*, and Yang H. (2020) An Unsupervised Fault Diagnosis Method for Rolling Bearing using STFT and Generative Neural Networks. Journal of the Franklin Institute, Volume: 357, Issue: 11 , pp: 7286-7707.

  25. Chen, Y.* and Zhou, Y. (2020) Machine Learning based Decision Making for Time Varying Systems: Parameter Estimation and Performance Optimization. Knowledge-based Systems, Volume: 190, 105479.

  26. Chen, Y., Chu, B.*, Freeman, C. T. and Liu Y. (2020) Generalized Iterative Learning Control with Mixed System Constraints: A Gantry Robot based Verification. Control Engineering Practice, Volume: 95, 104260.

  27. Chen, Y.*, Chu, B.* and Freeman, C. T. (2019) A Coordinate Descent Approach to Optimal Tracking Time Allocation in Point-to-Point ILC. Mechatronics, Volume: 59, pp: 25-34.

  28. Chen, Y., Chu, B.* and Freeman, C. T., (2019) Iterative Learning Control for Minimum Time Path Following. IFAC-PapersOnLine, Volume: 52, Issue: 29 , pp: 320-325.

  29. Chen, Y., Chu, B.* and Freeman, C. T. (2018) Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation. IEEE Transactions on Control Systems Technology, Volume: 26, Issue: 5 , pp: 1685-1698.

  30. Chen, Y., Chu, B.* and Freeman, C. T., (2017) Generalized Norm Optimal Iterative Learning Control: Constraint Handling. IFAC-PapersOnLine, Volume: 50, Issue: 1 , pp: 13396-13401.

Conference:

  1. Cui, S., Chen, Y.* and Tao, H. (2022) An Automatic Approach for Aircraft Landing Process based on Iterative Learning Control. 2022 IEEE 11th Data Driven Control and Learning Systems Conference, Chengdu, China.

  2. He, X., Ma, P.*, Chen, Y.* and Liu, Y. (2022) An Automatic Reflective Clothing Detection Algorithm Based on YOLOv5 forWork Type Recognition. 2022 IEEE 11th Data Driven Control and Learning Systems Conference, Chengdu, China.

  3. Ge, P., and Chen, Y.* (2022) An Automatic Detection Approach for Wearing Safety Helmets on Construction Site based on YOLOv5. 2022 IEEE 11th Data Driven Control and Learning Systems Conference, Chengdu, China.

  4. Cheng C., and Chen Y.*, (2021) A Neural Network based Mobile Robot Navigation Approach using Reinforcement Learning Parameter Tuning Mechanism. 2021 China Automation Congress, Shanghai, Beijing, 2600-2605.

  5. Ma X., Zhang Y., Huang J.* and Chen Y., (2021) Event-triggered-based control for continuous-time nonlinear Markov jump systems satisfying incremental quadratic constraints. 2021 Chinese Control Conference, Shanghai, China.

  6. Huang Y., Zhuang Z., Tao H.* and Chen Y., (2021) Optimal Iterative Learning Control of Quantized Signals Based on Encoding-Decoding Method. 2021 IEEE 10th Data Driven Control and Learning Systems Conference, Suzhou, China.

  7. Ying H. and Chen Y.*, (2021) A Neural Network Approach to Subjective Human Face Perception Classification based on Social Characteristics. 2021 IEEE 10th Data Driven Control and Learning Systems Conference, Suzhou, China.

  8. Chen Y., Qiu L. and Ying H.*, (2021) Multi-dimensional Data Analysis Platform (MuDAP): A Versatile Analysis Toolbox for Multi-dimensional Perception Data. 2021 IEEE 10th Data Driven Control and Learning Systems Conference, Suzhou, China.

  9. Chen Y.*, Zhou Y. and Zhang Y., (2020) Collaborative Production Planning with Unknown Parameters using Model Predictive Control and Machine Learning. 2020 China Automation Congress, Shanghai, China.

  10. Zhang Y.*, Chen Y., (2020) Dynamic event-triggered control for discrete-time Markov jump systems. The 16th International Conference on Control, Automation, Robotics and Vision, Shenzhen, China.

  11. Chen, Y., Chu, B.* and Freeman, C. T., (2018) Norm Optimal Iterative Learning Control for General Spatial Path Following Problem. The 57th IEEE Conference on Decision and Control, Miami, US, pp: 4933-4938.

  12. Chen, Y., Chu, B.* and Freeman, C. T., (2017) Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation: A Coordinate Descent Approach. The 36th Chinese Control Conference, Dalian, China, pp: 3298-3303.

  13. Chen, Y., Chu, B.* and Freeman, C. T., (2016) Spatial Path Tracking using Iterative Learning Control. The 55th IEEE Conference on Decision and Control, Las Vegas, US, pp: 7189-7194.

  14. Hladowski L.*, Chen Y., Nowicka W., Galkowski K., Rogers E. (2016) Iterative Learning Control Laws with Full Dynamics. 2016 American Control Conference, Boston, US, pp: 6369-6374.

  15. Chen, Y., Chu, B.* and Freeman, C. T., (2015) Point-to-Point Iterative Learning Control with Optimal Tracking Time Allocation. The 54th IEEE Conference on Decision and Control, Osaka, Japan, pp: 6089-6094.

Thesis:

  1. Chen, Y. (2017) Iterative Learning Control for Spatial Path Tracking, University of Southampton.

  2. Chen, Y. (2013) Mean Field Game, Imperial College London.