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。

报告摘要

In this presentation, we talk about the remote state estimation problem with noisy wireless communication channels, where the total transmission power constraint becomes a concern. Utilizing the ultimately bounded filtering method, we devise a state estimator that accounts for the combined effect of probabilistic bit flips and transmission power allocation on estimation performance. Moreover, the task of co-designing the transmission power allocation scheme and estimator gains is modeled as an optimization problem, which is then addressed through a two-step optimization strategy. Numerical simulation examples are provided to demonstrate the effectiveness of the proposed co-design approach.