报告题目：Set-Membership Filtering for Two-Dimensional Systems: Encoding and Decoding Mechanisms

报告简介：In this presentation, we talk about the set-membership filtering problem for two-dimensional (2-D) systems under the encoding and decoding mechanisms. Some background knowledge is first introduced on traditional 2-D systems from the perspectives of concepts, applications and challenges. Then, some detailed discussions are given on the set-membership filtering issues for networked 2-D systems, and the motivation for preserving the privacy by using encoding/decoding mechanisms is discussed. The issues of convergence, optimization and performance evaluation indices are addressed in the framework of recursive computation, and a few recent results are presented. Finally, we conclude our main contributions and some future directions.

报告人：王子栋，英国Brunel大学，教授，欧洲科学院院士。

个人简介：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六百余篇。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、东华大学长江学者讲座教授、清华大学国家级专家。

报告时间：2022年4月18日（星期一）下午 3:00-5:00.

报告地点：腾讯会议，ID： 850-168-653

主办单位：扬州大学数学科学学院、扬州大学科技处

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