报告题目：A Game-Theoretic Approach to Robust State Estimation

报告人：易圣伦

报告时间：2025年11月3日16:00

报告地点：线上会议(腾讯会议：713-567-958)

报告简介：Accurate state estimation is crucial in control, signal processing, and machine learning, with applications in navigation, robotics, finance, and environmental monitoring. Classical filters, such as the Kalman filter, assume precise knowledge of the underlying state-space model. In practice, however, models are often uncertain or only approximately known, which can render standard filters unreliable or unstable. 

In this talk, I will present a robust state estimation framework based on a minimax, game-theoretic approach. This perspective treats model uncertainty as an adversary and seeks estimators that minimize the worst-case error. I will first introduce the methodology in the linear setting, then discuss extensions to nonlinear systems. Finally, I will outline strategies to learn the level of uncertainty from data, bridging worst-case robustness with data-driven adaptation, and illustrate their application to UAV navigation in complex environments.

报告人简介：易圣伦，1995 年出生，毕业于北京理工大学自动化学院。自2022年起，先后在意大利帕多瓦大学（U.S. News 排名意大利第一）信息工程学院担任Researcher Type A、Researcher Type B – Junior及Researcher Type B – Senior 的职务。期间，与多位国际知名学者建立了长期稳固的合作关系，包括 Prof. Giorgio Picci（瑞典皇家工程院外籍院士，IEEE 终身会士，IFAC 会士）、Prof. Maria Elena Valcher（IEEE TAC 副编辑，IEEE 会士，IFAC 会士）以及 Prof. Mattia Zorzi（Automatica 副编辑）等。其主要研究方向为信号处理、系统辨识、状态估计和深度学习等理论研究，以及其在复杂环境下鲁棒感知与自主导航中的应用。以第一作者发表包括IEEE TAC 长文和Automatica 长文在内的 20 余篇学术论文。作为项目负责人，主持并成功获批意大利教育部科研项目 2 项及帕多瓦大学资助项目 1 项。与此同时，他与欧洲知名无人艇企业 Blue Robotics 深度合作，联合研发无人艇水面—水下全域导航算法。