Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
We examine the <inline-formula><tex-math notation="LaTeX">\mathcal {H}_2</tex-math></inline-formula> norm of matrix-weighted leader-follower consensus on series-parallel networks. By using an extension of electrical network theory on matrix-valued resistances, voltages, and currents, we show that the computation of the <inline-formula><tex-math notation="LaTeX">{\mathcal {H}_2}</tex-math></inline-formula> norm can be performed efficiently by decomposing the network into atomic elements and composition rules. Finally, we examine the problem of efficiently adapting the matrix-valued edge weights to optimize the <inline-formula><tex-math notation="LaTeX">{\mathcal {H}_2}</tex-math></inline-formula> norm of the network.