A substantial portion of this book is a revised version of "Discrete Event Systems: Modeling and Performance Analysis" (1993), which was written by the first author and received the 1999 Harold Chestnut Prize, awarded by the International Federation of Automatic Control (IFAC) for best control engineering textbook. This new expanded book is a comprehensive introduction to the field of discrete event systems, emphasizing breadth of coverage and accessibility of the material to readers with different backgrounds. Its key feature is the emphasis placed on a unified modeling framework that transcends specific application areas and allows linking of the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, (max,+) algebra, Markov chains and queueing theory, discrete-event simulation, perturbation analysis, and concurrent estimation techniques. "Introduction to Discrete Event Systems" will be of interest to advanced-level students in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, operations research, and industrial engineering.
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"Overall, the reviewers find this book to be an excellent textbook for a senior-level undergraduate course and a beginning graduate course on discrete-events systems. It can also be a valuable reference book for practicing engineers who want to understand DES and gain insights on how to develop, implement, and control such systems. This is a unique and special book available in the market providing a complete and thorough presentation of DES modeling, performance analysis, to control and optimization. The examples contained in this book are well explained and are a valuable resource for both purposes.
While it would be an excellent textbook for a senior or master's level course in systems, industrial or electrical engineering and computer science, all systems researchers and practitioners would find this book interesting and useful."
Automatica, 37 (2001)
"The authors have also taken care to provide teachers with a clear road-map that is suited to the level (undergraduate or graduate) of their students. Therefore, this book is well suited as a textbook for (introductory) courses on DES at the senior undergraduate level or the graduate level. In conclusion, this interesting book is a very nice addition to the literature. It gives an excellent and extensive introduction to the field of DES. As such it is recommended literature for both students and researchers interested in DES."
Mathematical Reviews 2002f
Preface. 1: Systems and Models. Introduction. System and Control Basics. Discrete Event Systems. Summary of System Classifications. The Goals of System Theory. Summary & Problems. Selected References. 2: Languages and Automata. Introduction. The Concepts of Languages and Automata. Operations on Automata. Finite-State Automata. Analysis of Discrete-Event Systems. Summary & Problems. Selected References. 3: Supervisory Control. Introduction. Feedback Control with Supervisors. Specifications on Controlled System. Dealing with Uncontrollability. Dealing with Blocking. Modular Control. Dealing with Unobservability. Decentralized Control. Summary & Problems. Selected References. 4: Petri Nets. Introduction. Petri Net Basics. Comparison of Petri Nets and Automata. Analysis of Petri Nets. Summary & Problems. Selected References. 5: Timed Models. Introduction. Timed Automata. Timed Petri Nets. Dioid Algebras. Concluding Comments. Summary & Problems. Selected References. 6: Stochastic Times Automata. Introduction. Stochastic Process Basics. Stochastic Clock Structures. Stochastic Timed Automata. The Generalized Semi-Markov Process. The Poisson Counting Process. Properties of the Poisson Process. Automata with Poisson Clock Structure. Extensions of the GSMP. Summary & Problems. Selected References. 7: Markov Chains. Introduction. Discrete-Time Markov Chains. Continuous-Time Markov Chains. Birth-Death Chains. Uniformization of Markov Chains. Summary & Problems. Selected References. 8: Introduction to Queueing Theory. Introduction. Specification of Queueing Models. Performance of a Queueing System. Queueing System Dynamics. Little's Law. Simple Markovian Queueing Systems. Markovian Queueing Networks. Non-Markovian Queueing Systems. Summary & Problems. Selected References. 9: Controlled Markov Chains. Introduction. Applying "Control" in Markov Chains. Markov Decision Processes. Solving Markov Decision Problems. Control of Queueing Systems. Summary & Problems. Selected References. 10: Introduction to Discrete-Event Simulation. Introduction. The Event Scheduling Scheme. The Process-Oriented Simulation Scheme. Discrete-Event Simulation Languages. Random Number Generation. Random Variate Generation. Output Analysis. Summary & Problems. Selected References. 11: Sensitivity Analysis and Concurrent Estimation.Introduction. Sample Functions and Their Derivatives. Perturbation Analysis: Some Key Ideas. PA of GI/G/ 1 Queueing Systems. IPA for Stochastic Timed Automata. Sensitivity Estimation Revisited. Extensions of IPA. Smoothed Perturbation Analysis (SPA). PA for Finite Parameter Changes. Concurrent Estimation. Summary & Problems. Selected References. I. Review of Probability Theory. II. IPA Estimator. Index. About the Authors.
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