Title：Networked State Estimation Under Unconventional Measurements: An overview

Abstract：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.

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

Date：4:00pm-6:00pm 2023-3-3（Friday）

Venue: Online

Tencent Meeting ID：968-238-367

Organizer：School of Mathematical Science