General Course Information
- Current real world systems are becoming increasingly complex.
- Typical examples: large networks of computers, flexible
manufacturing systems, vehicular traffic systems, supervisory control
- Need new paradigms for design, modeling, analysis, control, and
optimization of such systems.
- Current viewpoint: discrete event systems.
- Bring together techniques from control theory, communication
networks, computer science, and operations research for solving engineering
- Underlying goal: provide broad background in useful techniques
and tools for dealing with discrete event systems.
To provide students with a broad background in
useful techniques and tools relevant to the design, modeling, analysis,
control, and optimization of discrete event systems; to
introduce students to current research topics in discrete
event systems and to prepare students to undertake such research; to
promote an awareness of the need for new paradigms for approaching
problems involving increasingly complex man-made systems; to bring
together techniques from control theory, communication networks,
computer science, and operations research for solving engineering
Brief Course Description
- Models and tools for the design and analysis of discrete event systems.
include deterministic and stochastic models of discrete event
systems, supervisory control, simulation, gradient
estimation, stochastic optimization methods, and hybrid systems.
- Application examples in communication/computer networks, real-time
computer systems, and manufacturing systems are provided.
- Class notes.
- C.G. Cassandras,
Discrete Event Systems: Modeling and Performance Analysis,
Richard D. Irwin, Inc., and Aksen Associates, Inc., 1993.
- Y.C. Ho and X.R. Cao, Perturbation Analysis of Discrete Event
Systems, Kluwer, 1991.
- P. Glasserman, Gradient Estimation via Perturbation Analysis,
- Papers in the literature.
- EE 580 and EE 302, or equivalent.
- Basic state space systems in discrete time (desirable but not required).
- An appreciation of rigor.
Professor Edwin K. P. Chong
Course web page:
Professor Edwin K. P. Chong,
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