Title：Minimum-Variance Fusion Estimation for Networked Systems with Censored Measurements

Abstract：In this presentation, we talk about the minimum-variance fusion estimation problem for networked systems with censored measurements. Some background knowledge is first introduced on censored measurements from the perspectives of concepts, applications and challenges. Then, some detailed discussions are given on the optimal fusion estimation issues with network constraints, system constraints and protocol constraints, and a few methodologies for handling these constraints are discussed. The topics of convergence, optimization and performance evaluation are addressed in the framework of recursive computation, and some recent results are presented. Finally, we conclude our main contributions and some future directions.

Speaker：Zidong Wang，Brunel University, Professor, Member of the Academia Europaea.

Date：4:00pm-6:00pm 2023-3-1（Wednesday）

Venue: Online

Tencent Meeting ID：537-652-212

Organizer：School of Mathematical Science