报告题目：Remote State Estimation Under Compression-Decompression Mechanism

报告摘要：In this presentation, we talk about the remote state estimation for nonlinear systems under a compression-decompression mechanism (CDM). Considering the redundancy embedded in the measurements, compressive sensing is utilized for high-performance CDM and the combined impact of measurement noise and quantization errors on decompression errors is analyzed. A modified unscented Kalman filter is devised to minimize an upper bound of the estimation error covariance. Simulation experiments are conducted based on the IEEE 69 bus system. Finally, we conclude our main contributions and some future directions.  

报告人简介：王子栋，现任英国伦敦Brunel University讲席教授，欧洲科学院院士，欧洲科学与艺术院院士，IEEE Fellow，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七百余篇。现任或曾任十二种国际刊物的主编、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。

报告时间：2024年7月23日（星期二）上午 10:00

报告地点：扬州大学瘦西湖校区数学科学学院208报告厅

主办单位：扬州大学数学科学学院

联系人：刘玉荣

欢迎广大师生参加！