Network Science and Engineering: A Theory of Network Architecture

This is a joint project with Steven Low (PI), Emmanuel Candes, Mani Chandy, John Doyle, funded by the NSF Network Science and Engineering (NetSE) program. This page primarily describes the work done in Richard Murray's group.

|- valign=top | Project participants:

• Marcella Gomez (PhD student, ME)
• Dionysios Barmpoutis (PhD student, CNS)

| Collaborators

• Emmanuel Candes
• Mani Chandy
• John Doyle
• Steven Low (PI)

|}

Project Objectives

This project is directed at developing a theoretical foundation for the design of network architecture, which is essential to understanding highly evolved, organized, and complex networks, inspired by and with application to tech, bio, eco, and social networks, and with strong connec- tions to real-world data. Testbeds that are being leveraged include a variety of related programs on smart power grids (in collaboration with and funded by Southern California Edison) and several social and cyber-physical network problems as well as next generation Internet architecture.

Publications

• Stabilization of Feedback Systems via Distribution of Delays, Marcella M. Gomez and Richard M. Murray. IFAC Workshop on Time Delay Systems, 2012.
• Delay-Based Approximations of Biological Systems for Analysis and Design, Marcella Gomez and Richard M. Murray. Submitted, 2012 American Control Conference (ACC).
• Extremal Properties of Complex Networks, Dionysios Barmpoutis and Richard M. Murray. arXiv:1104.5532v1 [q-bio.MN], 2011.
• Quantification and Minimization of Crosstalk Sensitivity in Networks, Dionysios Barmpoutis, Richard M Murray. arXiv, q-bio.MN, 2010.
• Networks with the Smallest Average Distance and the Largest Average Clustering, Dionysios Barmpoutis, Richard M Murray. arXiv, q-bio.MN, 2010.