Biography

Dr Hongyang Dong is an assistant professor (research and teaching focussed) at the School of Engineering, University of Warwick. He worked as a research fellow in machine learning and intelligent control at Warwick from 2019 to 2022, before he became an assistant professor in November 2022. His current research interest is control theories and machine learning methods with their applications in complex systems, including offshore renewable energy systems and autonomous systems. He has published over 30 papers in relevant areas, including 15 in IEEE Transactions journals.

Research Interests

• Control theories
  • Adaptive dynamic programming
  • Intelligent control
  • Optimal control
  • Adaptive control
• Machine learning
  • Reinforcement learning
  • Deep learning
• Applications
  • Offshore renewable energy (wind, wave, tidal)
  • Robots
  • Autonomous systems

Teaching

• ES1A6 - Systems Modelling and Simulation (from 2023)
• ES2G2 - Electromechanical System Design and Control (from 2024)
• ES3E8 - Precision, Measurement and Control (2021-2023)

Projects and Grants

• 2023 - 2027, Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC), UKRI, CoI.
• 2021, Intelligent Fault-Tolerant Control of Offshore Wind Turbines via Deep Reinforcement Learning, ECR Research Fund of the EPSRC Supergen Offshore Renewable Energy Hub, PI.
• 2020, Learning-Based Semi-Active Structural Control of Floating Wind Turbines, funded by the UK (EPSRC) – China (NSFC) Centre for Offshore Renewable Energy, PI.

Selected Publications

• Hongyang Dong and Xiaowei Zhao, “Reinforcement Learning-Based Wind Farm Control: Towards Large Farm Applications via Automatic Grouping and Transfer Learning”, IEEE Transactions on Industrial Informatics, 2023, published online.
• Jingjie Xie, Hongyang Dong and Xiaowei Zhao, “Power Regulation and Load Mitigation of Floating Wind Turbines via Reinforcement Learning”, IEEE Transactions on Automation Science and Engineering, 2023, DOI: 10.1109/TASE.2023.3295576.
• Jingjie Xie, Hongyang Dong and Xiaowei Zhao, “Data-Driven Torque and Pitch Control of Wind Turbines via Reinforcement Learning”, Renewable Energy, 2023, 215, Paper ID 118893
• Hongyang Yang, Qinglei Hu, Hongyang Dong, Xiaowei Zhao, and Dongyu Li, “Optimized Data-Driven Prescribed Performance Attitude Control for Actuator Saturated Spacecraft”, IEEE/ASME Transactions on Mechatronics, 2023, published online.
• Hongyang Dong and Xiaowei Zhao, “Data-Driven Wind Farm Control via Multiplayer Deep Reinforcement Learning”, IEEE Transactions on Control Systems Technology, 2022, published online.
• Hongyang Dong and Xiaowei Zhao, “Wind-Farm Power Tracking via Preview-Based Robust Reinforcement Learning”, IEEE Transactions on Industrial Informatics, 2022, 18(3): 1706-1715.
• Hongyang Dong and Xiaowei Zhao, “Composite Experience Replay Based Deep Reinforcement Learning with Application in Wind Farm Control”, IEEE Transactions on Control Systems Technology, 2022, 30(3): 1281-1295.
• Hongyang Dong, Xiaowei Zhao, and Biao Luo, “Optimal Tracking Control for Uncertain Nonlinear Systems with Prescribed Performance via Critic-Only ADP”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 51(1): 561-573.
• Hongyang Dong, Xiaowei Zhao, Qinglei Hu, Haoyang Yang, Pengyuan Qi, “Learning-Based Attitude Tracking Control with High-Performance Parameter Estimation”, IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(3): 2218-2230.
• Hongyang Dong, Jingjie Xie, Xiaowei Zhao, “Wind Farm Control Technologies: From Classical Control to Reinforcement Learning”, Progress in Energy, 2022, 4, Paper ID 032006.
• Jingjie Xie, Hongyang Dong, Xiaowei Zhao, and Aris Karcanias, “Wind Farm Power Generation Control via Double-Network-Based Deep Reinforcement Learning”, IEEE Transactions on Industrial Informatics, 2022, 18(4): 2321-2330.
• Haoyang Yang, Qinglei Hu, Hongyang Dong, and Xiaowei Zhao, “ADP-Based Spacecraft Attitude Control under Actuator Misalignment and Pointing Constraints”, IEEE Transactions on Industrial Electronics, 2022, 69(9): 9342-9352.
• Umair Javaid, Hongyang Dong, et al., “High-Performance Adaptive Attitude Control of Spacecraft with Sliding Mode Disturbance Observer”, IEEE Access, 2022, 10: 42004-42013.
• Xiantao Zhang, Da Lu, Hongyang Dong, Xiaowei Zhao, Brennan Feargal and Yibo Liang, “Vibration Suppression of Multi-Component Floating Structures via Passive TMDs and Bayesian Ascent”, Ocean Engineering, 2022, 259, Paper ID 112088.
• Hongyang Dong, Jincheng Zhang and Xiaowei Zhao, “Intelligent Wind Farm Control via Deep Reinforcement Learning and High-Fidelity Simulations”, Applied Energy, 2021, 292, Paper ID 116928.
• Hongyang Dong, Xiaowei Zhao, and Haoyang Yang, “Reinforcement Learning-Based Approximate Optimal Control for Attitude Reorientation under State Constraints”, IEEE Transactions on Control Systems Technology, 2021, 29(4): 1664-1673.
• Jingjie Xie, Xiaowei Zhao, and Hongyang Dong (Corresponding Author), “Learning-Based Nonlinear Model Predictive Control with Accurate Uncertainty Compensation”, Nonlinear Dynamics, 2021, 104: 3827-3843.
• Umair Javaid and Hongyang Dong (Corresponding Author), “Disturbance Observer-Based Attitude Control under Input Nonlinearity”, Transactions of the Institute of Measurement and Control, 2021, 43(10): 2358-2367.
• Qinglei Hu, Haoyang Yang, Hongyang Dong, and Xiaowei Zhao, “Learning-Based 6-DOF Control for Autonomous Proximity Operations under Motion Constraints”, IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(6): 4097-4109.
• Hongyang Dong, Qinglei Hu, Maruthi R. Akella, and Haoyang Yang, “Composite Adaptive Attitude Tracking Control with Parameter Convergence under Finite Excitation”, IEEE Transactions on Control Systems Technology, 2020, 28(6): 2657-2664.
• Qinglei Hu, Yueyang Liu and Hongyang Dong, “Saturated Attitude Control for Rigid Spacecraft under Attitude Constraints”, Journal of Guidance, Control, and Dynamics, 2020, 43(4): 790-805.
• Hongyang Dong, Qinglei Hu, Maruthi R. Akella, and Frederic Mazenc, “Partial Lyapunov Strictification: Dual Quaternion Based Observer for 6-DOF Tracking Control”, IEEE Transactions on Control Systems Technology, 2019, 27(6): 2453-2469.
• Hongyang Dong, Qinglei Hu, Maruthi R. Akella and Yueyang Liu, “Adaptive Pose Tracking Control for Spacecraft Proximity Operations under Motion Constraints”, Journal of Guidance, Control, and Dynamics, 2019, 42(10): 2258-2271, 2019.
• Hongyang Dong, Qinglei Hu and Maruthi R. Akella, “Dual Quaternion Based Spacecraft Autonomous Rendezvous and Docking under 6-DOF Motion Constraints”, Journal of Guidance, Control, and Dynamics, 2018, 41(5): 1150-1162.
• Hongyang Dong, Qinglei Hu, Michael I. Friswell and Guangfu Ma, “Dual-Quaternion-Based Fault-Tolerant Control for Spacecraft Tracking with Finite-Time Convergence”, IEEE Transactions on Control Systems Technology, 2017, 25(4): 1231-1242.
• Hongyang Dong, Qinglei Hu and Maruthi R. Akella, “Safety Control for Spacecraft Autonomous Rendezvous and Docking under Motion Constraints”, Journal of Guidance, Control, and Dynamics, 2017, 40(7): 1680-1692.
• Hongyang Dong, Qinglei Hu, and Guangfu Ma, “Dual-Quaternion Based Fault-Tolerant Control for Spacecraft Formation Flying with Finite-Time Convergence”, ISA Transactions, 2016, 61: 87-94.
• Qinglei Hu, Hongyang Dong, Youmin Zhang and Guangfu Ma, “Tracking Control of Spacecraft Formation with Collision Avoidance”, Aerospace Science and Technology, 2015, 42: 353-364.