Introduces a systems approach to modeling, analysis, and design of sustainable systems. Covers principles of dynamical systems, network models, optimization, and control, with applications in ecosystems, infrastructure networks, and energy systems. Includes a significant programming component. Students implement and analyze numerical models of systems, and make design decisions to balance physical, environmental, and economic considerations based on real and simulated data.
Game-theoretic models and network optimization methods for improving resilience of large-scale infrastructure networks against security and reliability failures. Topics include: Network security games, interdiction models, strategic resource allocation and network design. Network equilibrium models, routing games, congestion pricing, and demand response. Cyber-physical security of control systems, fault and attack diagnostic tools, and resilient control. Design of operations management strategies for different reliability and security scenarios. Applications to transportation, logistics, electric-power, and water distribution networks.
Participant teams of two play a strategic game, where each person plays a role of an attacker or defender of a simulated water network, and acts to disrupt or protect the network components while facing the opponent. A game-theoretic model will be utilized to compute the attacker and defender payoffs. Participants will see how their strategies performed compared to other teams. By conducting repeated plays of this game, the participants will learn how to make decisions in a constrained strategic environment.