Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Convergence and State Reconstruction of Time-Varying Multi-Agent Systems from Complete Observability Theory

Loading...
Thumbnail Image

Date

Authors

Anderson, Brian
Shi, Guodong
Trumpf, Jochen

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

We study continuous-time consensus dynamics for multi-agent systems with undirected switching interaction graphs. We establish a necessary and sufficient condition for exponential asymptotic consensus based on the classical theory of complete observability. The proof is remarkably simple compared to similar results in the literature and the conditions for consensus are mild. This observability-based method can also be applied to the case where negatively weighted edges are present. Additionally, as a by-product of the observability based arguments, we show that the nodes' initial value can be recovered from the signals on the edges up to a shift of the network average

Description

Citation

Source

IEEE Transactions on Automatic Control

Book Title

Entity type

Access Statement

Open Access

License Rights

Restricted until

abcd