bettor伟德官网新人权益

报告题目：Networked State Estimation Under Unconventional Measurements

报告时间：2023年9月24日（星期日）14:30-17:30

报告地点：博闻楼313（电信bettor伟德官网新人权益大会议室）

主办单位：电子与信息工程bettor伟德官网新人权益、理bettor伟德官网新人权益

报告人：王子栋

报告人简介：王子栋，现任英国伦敦Brunel University讲席教授，欧洲科bettor伟德官网新人权益院士，欧洲科学与艺术院院士，IEEE Fellow，International Journal of Systems Science主编，Neurocomputing在主编。多年来从事控制理论、机器bettor伟德官网新人权益、生物信息学等方面研究，SCI刊物上发表国际论文七百余篇。一般来说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bettor伟德官网新人权益级领军人才、清华大学bettor伟德官网新人权益级专家。

报告内容简介：In this presentation, we talk about the state estimation problems for networked systems under unconventional measurements. Such unconventional measurements include, but are not limited to, 1) randomly occurring phenomena (e.g. delays, dropouts, saturations, quantization, fading, disorders, resolutions, biases, degradations, censorings, outliers), 2) effects induced by communication protocols (e.g. event-triggering protocol, round-robin protocol, try-once-discard protocol and random access protocol), and 3) effects induced by coding-decoding mechanisms (e.g. encryption-decryption scheme). Some background knowledge is first introduced from the perspectives of concepts, applications and challenges. Then, some detailed discussions are given on the optimal estimation issues with network constraints, system constraints and protocol constraints, and a few developed methodologies for handling unconventional measurements are discussed. Finally, we conclude our main contributions and some future directions.