应自动化学院邀请，欧洲科学院院士、IEEE Fellow、英国伦敦布鲁内尔大学（Brunel University London）王子栋教授于2026年4月16日为我院教师和研究生讲学。欢迎自动化学院及全校相关教师、博士生、硕士生参加！
报告专家：王子栋教授
报告题目：Remote State Estimation Over Hidden Markov Channels: Measurement Compression and Channel-State-Dependent Packet Loss
报告地点：新主楼E1404
报告时间：2026年4月16日15:30
报告简介：This talk addresses the challenges of remote state estimation with measurement compression and packet loss in a hidden Markov channel. The sensor measurements are compressed to reduce communication load and transmitted over a lossy channel, where packet loss depends on the channel state, which is partially observed. We propose an estimation framework that integrates measurement compression, channel-state-dependent packet loss, and decompression error. Using conditional expectation and Lyapunov-based techniques, we derive conditions for mean-square boundedness of the estimation error. An optimization strategy is introduced to minimize the error bound, improving accuracy. Simulations show how compression quality and channel-state observation impact performance.
专家简介：王子栋，现任英国伦敦布鲁内尔大学讲席教授，欧洲科学院院士，IEEE Fellow，中国自动化学会会士，International Journal of Systems Science主编，Neurocomputing主编。多年来从事控制理论、机器学习、生物信息学等方面研究，在SCI刊物上发表国际论文700余篇。现任或曾任12种国际刊物的主编、副编辑或编委。曾任旅英华人自动化及计算机协会主席、东华大学国家级领军人才、清华大学国家级专家等。