时间：2026年04月02日（周四），上午10:30-11:30

地点：西主楼2-203会议室

邀请人：肖曦

题目：Learning-based control for marine/maritime systems

题目：基于学习的船舶/海事系统控制

报告人：Yao Zhang，College London (UCL)

报告人：张瑶，伦敦大学学院

Abstract: Marine systems operate in highly uncertain, nonlinear environments where traditional control methods face limitations. This talk focuses on learning-based control framework that integrates data-driven techniques with control theory to enhance robustness, adaptability, and precision. The approach combines reinforcement learning, physics-informed models, and learning-augmented MPC, while embedding physical constraints to ensure stability and interpretability. Three key applications are discussed, including coordinated multi-USV search and rescue, adaptive control of offshore renewable energy systems, and high-precision marine operations such as docking and inspection. Results demonstrate improved performance in decision-making, energy efficiency, and disturbance rejection.

摘要：海洋系统运行环境具有高度的不确定性与非线性，传统控制方法往往难以应对复杂工况下的严苛要求。本次讲座重点介绍一种学习驱动的控制框架，该框架将数据驱动技术与控制理论相结合，以增强系统的鲁棒性、自适应能力与控制精度。该方法融合了强化学习、物理信息模型以及学习增强型模型预测控制（MPC），同时嵌入了物理约束以保证系统的稳定性和可解释性。本文探讨了三个关键应用场景，包括多无人水面艇（USV）协同搜救、海洋可再生能源系统自适应控制，以及靠泊检测等高精度海洋作业。实验结果表明，该方法在决策能力、能源效率和抗扰性能方面均实现了显著提升。

Speaker: Dr. Yao Zhang is currently with the Department of Mechanical Engineering at University College London (UCL). Her research focuses on artificial intelligence, automatic control, and optimization, with applications in marine and aerospace engineering. She is an IEEE Senior Member, and Fellow of the Higher Education Academy. She is the Principal Investigator of multiple funded projects, including EPSRC, INNOVATE UK, Royal Society, European Horizon, etc. She has published over 80 papers, including Automatica, IEEE Transactions on Sustainable Energy, etc. She serves as Associate Editor for leading journals including Ocean Engineering, IEEE Transactions on Industrial Informatics, and IET Generation, Transmission & Distribution. She serves as the Secretary of the IEEE UK&Ireland Women In Engineering (WIE) Affinity Group, an IEEE UK & Ireland WIE Ambassador, and the local event coordinator for the IEEE UK & Ireland Control System Chapter.

报告人：张瑶博士，目前任职于伦敦大学学机械工程系。她的研究方向涵盖人工智能、自动控制与优化算法，并致力于其在海洋及航空航天工程领域的应用。张瑶博士是 IEEE 高级会及英国高等教育学会会。作为首席科学家，她主持了多项研究项目，包括英国工程和自然科学研究委员会、英国创新署、皇家学会以及欧盟“地平线”计划的资助项目。目前，张瑶博士已发表学术论文80余篇，其中包括Automatica和IEEE Transactions on Sustainable Energy等顶级期刊论文。她同时担任多本国际领先期刊的副主编，包括Ocean Engineering、IEEE Transactions on Industrial Informatics以及IET Generation, Transmission & Distribution。在社会职务方面，她担任IEEE英国及爱尔兰区女性工程师（WIE）亲和小组秘书、IEEE 英国及爱尔兰区WIE大使，并负责IEEE英国及爱尔兰区控制系统分会的当地活动协调工作。