
LSLN Stabilität, Robustheit und Approximation großskaliger dynamischer Netzwerke Theorie und Anwendungen in logistischen Netzwerken The dynamics of complex, largescale networks of interacting dynamical systems are hard to analyze and in many aspects methods and tools for the analysis are missing. In this project we will study such networks from the point of view of stability and approximation theory and investigate applications in logistics. To this end criteria for stability of nominal and perturbed networks will be developed. Furthermore, we will study the robustness of such networks with respect to perturbation of the dynamics in the vertices and of network structure. To obtain approximation techniques that retain structural properties of networks we propose an approach based on separation of time scales and on ranking schemes for the vertices of the network. This approach is motivated by a realworld logistic scenario in which different time scales occur in a natural manner. The theoretical results will be used to obtain further insight into the dynamics of logistic networks and to derive logistics management principles. Contact persons: S. Oelker (Project manager) Funded by: Volkswagen Stiftung Duration: 01.01.2008  31.12.2011 See project's publications List all projects 