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Performance and Design of Consensus on Matrix-Weighted and Time-Scaled Graphs
Ist Teil von
IEEE transactions on control of network systems, 2020-12, Vol.7 (4), p.1812-1822
Ort / Verlag
Piscataway: IEEE
Erscheinungsjahr
2020
Quelle
IEEE Xplore
Beschreibungen/Notizen
In this article, we consider the H 2 -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 edgestate consensus. In particular, we highlight an interesting case where the influences of the weighting and scaling on the H 2 -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 multivehicle systems.