EE290o: Special Topics in Control (Resilient Networks): Spring 2014
Interconnected networks are becoming more and more important in society. Some examples of these networks include internet, transportation networks, power and utility networks, financial networks, sensor networks, multi-agent systems, social networks, etc.
Resilience of networks involves the topological structure, as well as dynamics of networks. The course will study structure (combinatorics, pretopology) and dynamics (deterministic and stochastic) on these networks. Scaling issues from microscopic to macroscopic behaviours, games on networks, the interplay between graph and dynamics (algebraic graph theory), performance measures for networks, queuing theory on networks, network calculus and scale-free complex networks phenomenon will be studied. Python programming language will be used with its graph library for working with sample example networks during the course.