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GE 523 - Discrete Event Dynamic Systems

Last offered Spring 2015

Official Description

Modeling, analysis, control, and performance evaluation of discrete event dynamic systems (DEDS), which are characterized by state changes only at discrete points in time in response to the occurrence of particular events. Discrete-state and discrete-event models decidability, computational issues, forbidden-state problems, forbidden-string problems, enforcing safety and liveness properties via supervision, generalized semi-Markov processes, sensitivity analysis via likelihood ratio and infinitesimal perturbation methods. Course Information: Prerequisite: CS 173 or MATH 213; CS 225; MATH 415; MATH 461.

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Course Description

Traditional system theory concerns systems with continuous-time or discrete-time variables that can be modeled by difference or differential equations, possibly including random or non-deterministic elements. Modern technology in the form of computers, manufacturing processes, communication networks, intelligent vehicle/highway systems (IVHS), etc., has forced upon us event-driven dynamics (or information-driven dynamics): systems in which the state changes only at discrete points in time in response to the occurrence of particular events. There is a growing need for the study of systems whose states have logical or symbolic, rather than numerical, values that change with the occurrence of events. We call such systems Discrete Event Dynamic Systems (DEDS). This course introduces the various issues in modeling, analysis, control, and performance evaluation of DEDS. The main objective is to present, in a consolidated form, research in the theory of DEDS over the last decade. Prerequisite: CS 173 or MATH 213; CS 225; MATH 415; MATH 461.

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Discrete Event Dynamic SystemsA50865LCD31400 - 1520 T R  106B6 Engineering Hall Ramavarapu S Sreenivas