John R. Clymer

Simulation-Based Engineering of Complex Systems

• Gebundenes Buch

Produktbeschreibung

The book includes real world examples of Complex Adaptive Systems (CAS), such as a traffic control network in order for the reader to gain a good understanding of the properties of CAS Focuses on Operational Evaluation Modeling (OpEM) where simulation of a system in its operational environment is a main theme.

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A hands-on approach to understanding, designing, analyzing, and evaluating complex systems

During the last few years, Simulation-Based Systems Engineering (SBSE) has become an essential tool for the design and evaluation of complex systems. This is the first book to cover the basic principles of complex systems through the use of hands-on experimentation using an icon-based simulation tool.

Utilizing the accompanying software tool ExtendSim, which works with the OpEMCSS library, readers are invited to engage in simulation-based

experiments that demonstrate the principles of complex systems with an

emphasis on design, analysis, and evaluation. A number of real-world examples are included to demonstrate how to model complex systems across a range of engineering, business, societal, economic, and scientific disciplines.

Beginning with an introduction to SBSE, the book covers:
Simulation concepts and building blocks
Systems design and model development
Markov model development
Reliability processes
Queuing theory in SBSE
Rule-based learning and adaptation
Agent motion and spatial interactions
Multi-agent system of systems

Assuming only a very basic background in problem-solving ability, this book is ideal as a textbook for students (a homework solution manual is also available) and as a reference book for practitioners in industry.

Produktdetails

• Wiley Series in Systems Engineering and Management Vol.1
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 536
• Erscheinungstermin: 1. März 2009
• Englisch
• Abmessung: 240mm x 161mm x 33mm
• Gewicht: 837g
• ISBN-13: 9780470401293
• ISBN-10: 047040129X
• Artikelnr.: 25835464

Autorenporträt

John R. Clymer, PhD, is a Professor at California State University at Fullerton.

Inhaltsangabe

Preface. 1. Introduction to Simulation-Based Systems Engineering. 1.1
Definition of Complex Systems. 1.2 Using Simulation to Understand Complex
Systems. 1.3 Bringing Complex Systems into Being. 1.4 Summary. 1.5 Homework
Problems. 2. Simulation Concepts and Building Blocks. 2.1 Statistical
Aspects of Simulation. 2.2 OpEM Graphical Modeling Language. 2.3 How OpEM
Parallel Process Simulations Work. 2.4 OpEMCSS Simulation of
Context-Sensitive Systems. 2.5 An OpEM Example of Preemptive Scheduling.
2.6 Summary. 2.7 Homework. 2.8 References. 3. Systems Design and Model
Development. 3.1 Inventory System. 3.2 Part Production System. 3.3 Seaport
System. 3.4 Advanced Features of OpEMCSS. 3.5 Summary. 3.6 Homework. 3.7
References. 4. Markov Model Development. 4.1 Discrete-Time Markov Chains.
4.2 Continuous-Time Markov Processes. 4.3 Semi-Markov Flow Graphs. 4.4
System Design and Evaluation Using Markov Models. 4.5 Homework. 4.6
References. 5. Reliability Processes. 5.1 Definitions. 5.2 Reliability of
Non-Maintained Module Groups. 5.3 Availability of Maintained Module Groups.
5.4 Dependence of System Performance on Reliability. 5.5 Summary. 5.6
Homework. 5.7 References. 6. Queuing Theory in Simulation-Based Systems
Engineering. 6.1 Single-Queue, Single Server Process. 6.2 Single-Queue,
Two-Server Process. 6.3 Comparison of Simulation, Markov Process, and
Queuing Theory Models. 6.4 Homework. 6.5 Reference. 7. Rule-Based Learning
and Adaptation. 7.1 Classifier Systems. 7.2 Induction of Decision Making
Rules. 7.3 Supervisory Rule Learning. 7.4 Summary. 7.5 Conclusions. 7.6
References. 8. Agent Motion and Spatial Interactions. 8.1 Discrete Event
Model of Continuous motion. 8.2 Agent Motion and Spatial Interaction
Blocks. 8.3 World Model. 8.4 Sonar Array System. 8.5 Summary. 8.6
Reference. 9. Multi-Agent System of Systems (SOS). 9.1 Agents and Agent
Interactions. 9.2 Elevator System. 9.3 Distributed, Vehicle Traffic Light
Control System. 9.4 Communication Blocks for Multi-Agent Systems. 9.5
Summary. 9.6 References. Appendix A - OpEMCSS User's Manual. A.1 Minimum
Requirements for Successful CSS Modeling Languages. A.2 Modeling Languages
Survey. A.2.1 Petri Nets. A.2.2 IDEF0 Diagrams. A.2.3 ExtendSim Queuing
Models. A.2.4 Modeling Languages Survey Summary. A.3 Operational Evaluation
Modeling (OpEM) Historical Overview. A.4 OpEMCSS Familiarization Exercises.
A.4.1 How to Set Up ExtendSim LT-RunTime. A.4.2 ExtendSim Environment
Overview. A.4.3 Block Familiarization Exercises. A.5 Overview of
Context-Sensitive Event Action Blocks. A.5.1 Message Event Action block.
A.5.2 Context-Sensitive Event Action block. A.5.3 Event Action block. A.6
Summary. A.7 References. Appendix B Overview of OpEMCSS Library Blocks. B.1
Definition of OPEMCSS Block Categories. B.2 Description of OpEMCSS Blocks
by Category. B.2.1 Category 1. B.2.2 Category 2. B.2.3 Category 3. B.2.4
Category 4. B.2.5 Category 5. B.2.6 Category 6. B.2.7 Category 7. B.2.8
Category 8. B.2.9 Category 9. B.3 Summary of OpEMCSS Block Categories.
Appendix C - Programming OpEMCSS Special Blocks. C.1 Special Event Action
Block Dialogs. C.2 Execute Event Action Procedure. C.3 Summary.