Performance and design of consensus on matrix-weighted and time scaled graphs
Abstract
In this paper, we consider the -norm of networked systems with multi-time scale consensus dynamics and vector-valued agent states. This allows us to explore how measurement and process noise affect consensus on matrix-weighted graphs by examining edge-state consensus. In particular, we highlight an interesting case where the influences of the weighting and scaling on the norm can be separated in the design problem. We then consider optimization algorithms for updating the time scale parameters and matrix weights in order to minimize network response to injected noise. Finally, we present an application to formation control for multi-vehicle systems.
Cite
@article{arxiv.2006.04617,
title = {Performance and design of consensus on matrix-weighted and time scaled graphs},
author = {Dillon R. Foight and Mathias Hudoba de Badyn and Mehran Mesbahi},
journal= {arXiv preprint arXiv:2006.04617},
year = {2020}
}
Comments
10 pages, 5 figures, accepted to the IEEE Transactions on Control of Network Systems. arXiv admin note: text overlap with arXiv:1909.07864