Control of Networked Systems

Catalog description

Methods and tools for modeling, control, and performance analysis of asynchronous systems driven by random events. Main topics include stochastic processes, Markov chain models, queuing systems, simulation of event- and time-driven systems, security and optimal control of networked systems as controlled Markov chains. Prerequisites: A course in basic probability (probability space; conditional probability; random variables; probability mass and probability density functions; conditional distributions; expectation, variance, and moment computation.) Offered every other spring semester.