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Introduction to Discrete Event Systems by Christos G. Cassandras, Stéphane Lafortune , Springer

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  • General Information  
    Author(s)Christos G. Cassandras, Stéphane Lafortune
    PublisherSpringer
    ISBN9781441941190
    Pages772
    BindingPaperback
    LanguageEnglish
    Publish YearOctober 2010

    Description

    Springer Introduction to Discrete Event Systems by Christos G. Cassandras, Stéphane Lafortune

    Introduction to Discrete Event Systems is a comprehensive introduction to the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queuing theory, discrete-event simulation, and concurrent estimation techniques. This edition includes recent research results pertaining to the diagnosis of discrete event systems, decentralized supervisory control, and interval-based timed automata and hybrid automata models._x000D_ Table of contents :- _x000D_ Preface - Second Edition.- 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.- Control with Partial Controllability.- Nonblocking Control.- Control with Modular Specifications.- Control Under Partial Observation.- Decentralized Control.- Summary.- Problems.- Selected References.- 4 Petri Nets: Introduction.- Petri Net Basics.- Comparison of Petri Nets and Automata.- Analysis of Petri Nets.- Control of Petri Nets.- Summary.- Problems.- Selected References.- 5 Timed and Hybrid Models: Introduction.- Timed Automata.- Timed Petri Nets.- Dioid Algebras.- Alternative Timed Models.- Timed Automata with Guards.- Hybrid Models.- Summary.- Problems.- Selected References.- 6 Stochastic Timed 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).- IPA for Stochastic Hybrid Automata.- PA for Finite Parameter Changes.- Concurrent Estimation.- Summary.- Problems.- Selected References.- I: Review of Probability Theory: Basic Concepts and Definitions.- Conditional Probability.- Random Variables.- Conditional Distributions.- Functions of Random Variables.- Expectation.- Characteristic Functions.- Random Sequences and Random Processes.- II: IPA Estimator.- Index.- About the Authors._x000D_



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