Abstract
This book covers, in a progressively refined manner, concepts, theories, and methods for modeling, control, and performance analysis of discrete event systems. The book contains two complete instructional paths: chapters 2-5 for deterministic discrete event systems and chapters 6-11 for stochastic discrete event systems. Two appendices are included: "Review of Probability Theory" and "IPA Estimator." The presentation of the material is both intuitive and formal. It follows along a homogeneous path of progressively refined models of discrete event systems, from untimed to timed and from deterministic to stochastic. The logic development is clear, mathematically rigorous, and supplied with a wide range of examples. This is among the best books for both instructional and research purposes.
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