Stochastic Discrete Event Systems

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Stochastic Discrete Event Systems

Author : Anonim
Publisher : Unknown
Page : 406 pages
File Size : 51,5 Mb
Release : 2006
Category : Electronic
ISBN : OCLC:916665640

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Stochastic Discrete Event Systems by Anonim Pdf

Stochastic Discrete Event Systems

Author : Armin Zimmermann
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 46,6 Mb
Release : 2008-01-12
Category : Computers
ISBN : 9783540741732

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Stochastic Discrete Event Systems by Armin Zimmermann Pdf

Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Introduction to Discrete Event Systems

Author : Christos G. Cassandras,Stéphane Lafortune
Publisher : Springer Nature
Page : 821 pages
File Size : 51,8 Mb
Release : 2021-11-11
Category : Computers
ISBN : 9783030722746

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

This unique textbook comprehensively introduces 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 queueing theory, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering. ​Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University. Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.

Discrete Event Systems

Author : Reuven Y. Rubinstein,Alexander Shapiro
Publisher : Unknown
Page : 360 pages
File Size : 41,6 Mb
Release : 1993-10-19
Category : Mathematics
ISBN : UOM:39015033981633

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Discrete Event Systems by Reuven Y. Rubinstein,Alexander Shapiro Pdf

A unified and rigorous treatment of the associated stochastic optimization problems is provided and recent advances in perturbation theory encompassed. Throughout the book emphasis is upon concepts rather than mathematical completeness with the advantage that the reader only requires a basic knowledge of probability, statistics and optimization.

Stochastic Simulation Optimization for Discrete Event Systems

Author : Chun-Hung Chen,Qing-Shan Jia,Loo Hay Lee
Publisher : World Scientific
Page : 274 pages
File Size : 52,6 Mb
Release : 2013-07-03
Category : Technology & Engineering
ISBN : 9789814513029

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Stochastic Simulation Optimization for Discrete Event Systems by Chun-Hung Chen,Qing-Shan Jia,Loo Hay Lee Pdf

Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a “hard nut to crack”. The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions. Contents:Part I: Perturbation Analysis:The IPA Calculus for Hybrid SystemsSmoothed Perturbation Analysis: A Retrospective and Prospective LookPerturbation Analysis and Variance Reduction in Monte Carlo SimulationAdjoints and AveragingInfinitesimal Perturbation Analysis and Optimization AlgorithmsSimulation-based Optimization of Failure-prone Continuous Flow LinesPerturbation Analysis, Dynamic Programming, and BeyondPart II: Ordinal Optimization:Fundamentals of Ordinal OptimizationOptimal Computing Budget Allocation FrameworkNested PartitionsApplications of Ordinal Optimization Readership: Professionals in industrial and systems engineering, graduate reference for probability & statistics, stochastic analysis and general computer science, and research. Keywords:Simulation;Optimization;Stochastic Systems;Discrete-Even Systems;Perturbation Analysis;Ordinal Optimization

Discrete Event Systems

Author : R. Boel,Geert Stremersch
Publisher : Springer Science & Business Media
Page : 489 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461544937

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Discrete Event Systems by R. Boel,Geert Stremersch Pdf

Discrete Event Systems: Analysis and Control is the proceedings of WODES2000 (the 5th Workshop on Discrete Event Systems, held in Ghent, Belgium, on August 21-23, 2000). This book provides a survey of the current state of the art in the field of modeling, analysis and control synthesis of discrete event systems, lecture notes for a mini course on sensitivity analysis for performance evaluation of timed discrete event systems, and 48 carefully selected papers covering all areas of discrete event theory and the most important applications domains. Topics include automata theory and supervisory control (12); Petri net based models for discrete event systems, and their control synthesis (11); (max,+) and timed automata models (9); applications papers related to scheduling, failure detection, and implementation of supervisory controllers (7); formal description of PLCs (6); and finally, stochastic models of discrete event systems (3).

Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity

Author : Eitan Altman,Bruno Gaujal,Arie Hordijk
Publisher : Springer
Page : 316 pages
File Size : 52,9 Mb
Release : 2003-12-15
Category : Mathematics
ISBN : 9783540397052

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Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity by Eitan Altman,Bruno Gaujal,Arie Hordijk Pdf

Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers. This is a counterpart of convex optimization in the setting of discrete optimization. The theory developed is applied to the control of stochastic discrete-event dynamic systems. Some applications are admission, routing, service allocation and vacation control in queuing networks. Pure and applied mathematicians will enjoy reading the book since it brings together many disciplines in mathematics: combinatorics, stochastic processes, stochastic control and optimization, discrete event dynamic systems, algebra.

Regenerative Stochastic Simulation: Discrete Event Systems

Author : International Business Machines Corporation. Research Division,Gerald S. Shedler
Publisher : Unknown
Page : 60 pages
File Size : 47,9 Mb
Release : 1990
Category : Markov processes
ISBN : OCLC:37382386

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Regenerative Stochastic Simulation: Discrete Event Systems by International Business Machines Corporation. Research Division,Gerald S. Shedler Pdf

Discrete Event Systems

Author : Christos G. Cassandras
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 824 pages
File Size : 48,8 Mb
Release : 1993
Category : Mathematics
ISBN : UOM:39015028905324

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Discrete Event Systems by Christos G. Cassandras Pdf

Applications of Stochastic Techniques to Partially Observed Discrete Event Systems

Author : David Thorsley
Publisher : Unknown
Page : 203 pages
File Size : 55,9 Mb
Release : 2006
Category : Electronic
ISBN : 0542791013

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Applications of Stochastic Techniques to Partially Observed Discrete Event Systems by David Thorsley Pdf

Three distinct major problems are considered. The first is the question of diagnosability of stochastic DES. The notions of A- and AA-diagnosability are defined for stochastic automata and conditions for A- and AA-diagnosability are determined through the construction of a stochastic diagnoser.

Numerical Methods for Solving Discrete Event Systems

Author : Winfried Grassmann,Javad Tavakoli
Publisher : Springer Nature
Page : 370 pages
File Size : 50,9 Mb
Release : 2022-11-05
Category : Mathematics
ISBN : 9783031100826

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Numerical Methods for Solving Discrete Event Systems by Winfried Grassmann,Javad Tavakoli Pdf

This graduate textbook provides an alternative to discrete event simulation. It describes how to formulate discrete event systems, how to convert them into Markov chains, and how to calculate their transient and equilibrium probabilities. The most appropriate methods for finding these probabilities are described in some detail, and templates for efficient algorithms are provided. These algorithms can be executed on any laptop, even in cases where the Markov chain has hundreds of thousands of states. This book features the probabilistic interpretation of Gaussian elimination, a concept that unifies many of the topics covered, such as embedded Markov chains and matrix analytic methods. The material provided should aid practitioners significantly to solve their problems. This book also provides an interesting approach to teaching courses of stochastic processes.

Discrete-Event Control of Stochastic Networks

Author : Eitan Altman,Bruno Gaujal,Arie Hordijk
Publisher : Unknown
Page : 332 pages
File Size : 53,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662190702

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Discrete-Event Control of Stochastic Networks by Eitan Altman,Bruno Gaujal,Arie Hordijk Pdf

Control and System Theory of Discrete-Time Stochastic Systems

Author : Jan H. van Schuppen
Publisher : Springer Nature
Page : 940 pages
File Size : 51,8 Mb
Release : 2021-08-02
Category : Technology & Engineering
ISBN : 9783030669522

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Control and System Theory of Discrete-Time Stochastic Systems by Jan H. van Schuppen Pdf

This book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control, filtering, and realization problems for such systems. Applications of the theory in the book include the control of ships, shock absorbers, traffic and communications networks, and power systems with fluctuating power flows. The focus of the book is a stochastic control system defined for a spectrum of probability distributions including Bernoulli, finite, Poisson, beta, gamma, and Gaussian distributions. The concepts of observability and controllability of a stochastic control system are defined and characterized. Each output process considered is, with respect to conditions, represented by a stochastic system called a stochastic realization. The existence of a control law is related to stochastic controllability while the existence of a filter system is related to stochastic observability. Stochastic control with partial observations is based on the existence of a stochastic realization of the filtration of the observed process.​

Modeling and Control of Discrete-event Dynamic Systems

Author : Branislav Hrúz,MengChu Zhou
Publisher : Springer Science & Business Media
Page : 342 pages
File Size : 46,5 Mb
Release : 2007-08-17
Category : Science
ISBN : 9781846288777

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Modeling and Control of Discrete-event Dynamic Systems by Branislav Hrúz,MengChu Zhou Pdf

Discrete-event dynamic systems (DEDs) permeate our world. They are of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking. This book begins with the mathematical basics required for the study of DEDs and moves on to present various tools used in their modeling and control. Industrial examples illustrate the concepts and methods discussed, making this book an invaluable aid for students embarking on further courses in control, manufacturing engineering or computer studies.

Synchronization and Linearity

Author : François Baccelli
Publisher : John Wiley & Sons Incorporated
Page : 489 pages
File Size : 40,8 Mb
Release : 1992
Category : Mathematics
ISBN : 047193609X

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Synchronization and Linearity by François Baccelli Pdf

This text presents new modelling and analysis techniques for the description of discrete event dynamic systems, emphasizing timing and synchronization aspects. The volume begins with a study of the areas of applications and relationships between graph theory, petri nets and algebras. It then goes on to discuss deterministic discrete event systems, stochastic discrete event systems and open problems. This class of synchronized system finds its main current industrial applications in the modelling, optimization and control of communications networks and architectures, as well as manufacturing systems.