| Description |
1 online resource (xv, 391 pages) : illustrations |
| Contents |
Front Matter; Introduction; A Unified Description for Stochastic Discrete Event Systems; Stochastic Timed Automata; Queuing Models; Simple Petri Nets; Colored Petri Nets; Standard Quantitative Evaluation Methods for SDES; An Iterative Approximation Method; Efficient Simulation of SDES Models; System Optimization; Model-Based Direct Control; Software Tool Support; Optimization of a Manufacturing System; Communication System Performability Evaluation; Supply Chain Performance Evaluation and Design; Model-Based Design and Control of a Production Cell; Summary and Outlook; Back Matter |
| Summary |
"The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model." "Armin Zimmermann delivers a coherent and comprehensive overview on modeling with and quantitative evaluation of SDES. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their format translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented."--Jacket |
| Bibliography |
Includes bibliographical references (pages 361-382) and index |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
System analysis
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Discrete-time systems.
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Stochastic processes.
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Systems Analysis
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Stochastic Processes
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systems analysis.
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SCIENCE -- System Theory.
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Discrete-time systems.
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Stochastic processes.
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System analysis.
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Informatique.
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Discrete-time systems
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Stochastic processes
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System analysis
|
| Form |
Electronic book
|
| LC no. |
2007932804 |
| ISBN |
9783540741732 |
|
3540741739 |
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9783540741725 |
|
3540741720 |
|
1281179221 |
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9781281179227 |
|
