1.208 Resilient Infrastructure Networks
Fall 2014
Instructor: Saurabh Amin
Lecture:
MW2.30-4pm
(1-150)
Office Hour: W10-11am or by appointment
(1-241)
Information:
Control algorithms and game-theoretic tools to enable resilient operation of large-scale infrastructure networks. Dynamical network flow models, stability analysis, robust predictive control, fault and attack diagnostic tools. Strategic network design, routing games, congestion pricing, demand response, and incentive regulation. Design of operations management strategies for different reliability and security scenarios. Applications to transportation, logistics, electric-power, and water distribution networks.
Announcements
Overview
Intended audience: The course is aimed at students with research interests in systems, control, and networks who are looking to learn applications of network control and game-theoretic methods to cyber-physical infrastructure systems.Overview: Cyber-Physical Systems (CPSs) are being increasingly deployed in critical infrastructures such as electric-power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and closed-loop control by exploiting advances in wireless sensor-actuator networks, the Internet of “everything”, data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of computational and physical components. In addition, in many cases, CPSs also interact with human decision makers. Fundamentally, once we admit that CPS operations depend on actions of humans (albeit to different degrees), we also have to admit that malicious entities could take charge of CPS control by exploiting cyber insecurities or physical faults, or their combination. There- fore, to improve CPS resilience, we need diagnostic tools and automatic control algorithms that ensure survivability in the presence of both security attacks and random faults and include models of the incentives of human decision makers in the design process.
This course focuses on applying the tools from game theory,
robust control, network economics to problems in infrastructure
resilience. Upon the completion of this course, students will be
able to identify the resilience challenges faced by the designers
and operators of cyber-physical infrastructure systems, and apply
system-theoretic approaches to develop assessment, diagnostics, and
response solutions.
Announced on 29 August 2014 9:21 a.m. by Saurabh Amin
