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報告題目：Networked State Estimation Under Unconventional Measurements

報告時間：2023年9月24日（星期日）14:30-17:30

報告地點：博聞樓313（電信學院大會議室）

主辦單位：電子與信息工程學院、理學院

報告人：王子棟

報告人簡介：王子棟，現任英國倫敦Brunel University講席教授，歐洲科學院院士，歐洲科學與藝術院院士，IEEE Fellow，International Journal of Systems Science主編，Neurocomputing主編。多年來從事控制理論、機器學習、生物信息學等方面研究，在SCI刊物上發表國際論文七百余篇。現任或曾任十二種國際刊物的主編、副編輯或編委。曾任旅英華人自動化及計算機協會主席、東華大學國家級領軍人才、清華大學國家級專家。

報告內容簡介：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.