Simulation and Modeling of Systems of Systems 1st Edition by Pascal Cantot, Dominique Luzeaux ISBN 1118616650 9781118616659

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ISBN 10: 1118616650 
ISBN 13: 9781118616659
Author: Pascal Cantot, Dominique Luzeaux

Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance. Systems engineering is applied to vast numbers of problems in industry and the military. An example of systems engineering at work is the control of the timing of thousands of city traffic lights to maximize traffic flow. The complex and intricate field of electronics and computers is perfectly suited for systems engineering analysis and in turn, advances in communications and computer technology have made more advanced systems engineering problems solvable. Thus, the two areas fed off of one another. This book is a basic introduction to the use of models and methods in the engineering design of systems. It is aimed at students as well as practicing engineers.

Simulation and Modeling of Systems of Systems 1st Table of contents:

Chapter 1. Simulation: History, Concepts, and Examples
Pascal CANTOT
1.1. Issues: simulation, a tool for complexity
1.2. History of simulation
1.3. Real-world examples of simulation
1.4. Basic principles
1.5. Conclusion
1.6. Bibliography

Chapter 2. Principles of Modeling
Pascal CANTOT
2.1. Introduction to modeling
2.2. Typology of models
2.3. The modeling process
2.4. Simulation project management
2.5. Conclusion
2.6. Bibliography

Chapter 3. Credibility in Modeling and Simulation
Roland RABEAU
3.1. Technico-operational studies and simulations
3.2. Examples of technico-operational studies based on simulation tools
3.3. VV&A for technico-operational simulations
3.4. VV&A issues
3.5. Conclusions
3.6. Bibliography

Chapter 4. Modeling Systems and Their Environment
Pascal CANTOT
4.1. Introduction
4.2. Modeling time
4.3. Modeling physical laws
4.4. Modeling random phenomena
4.5. Modeling the natural environment
4.6. Modeling human behavior
4.7. Bibliography

Chapter 5. Modeling and Simulation of Complex Systems: Pitfalls and Limitations of Interpretation
Dominique LUZEAUX
5.1. Introduction
5.2. Complex systems, models, simulations, and their link with reality
5.3. Main characteristics of complex systems simulation
5.4. Review of families of models
5.5. An example: effect-based and counter-insurgency military operations
5.6. Conclusion
5.7. Bibliography

Chapter 6. Simulation Engines and Simulation Frameworks
Pascal CANTOT
6.1. Introduction
6.2. Simulation engines
6.3. Simulation frameworks
6.4. Capitalization of models
6.5. Conclusion and perspectives
6.6. Bibliography

Chapter 7. Distributed Simulation
Louis IGARZA
7.1. Introduction
7.2. Basic mechanisms of distributed simulation
7.3. Main interoperability standards
7.4. Methodological aspects: engineering processes for distributed simulation
7.5. Conclusion: the state of the art: toward “substantive” interoperability
7.6. Bibliography

Chapter 8. The Battle Lab Concept
Pascal CANTOT
8.1. Introduction
8.2. France: Laboratoire Technico-Opérationnel (LTO)
8.3. United Kingdom: the Niteworks project
8.4. Conclusion and perspectives
8.5. Bibliography

Chapter 9. Conclusion: What Return on Investment Can We Expect from Simulation?
Dominique LUZEAUX
9.1. Returns on simulation for acquisition
9.2. Economic analysis of gains from intelligent use of simulations
9.3. Multi-project acquisition
9.4. An (almost) definitive conclusion: conditions for success

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Tags: Pascal Cantot, Dominique Luzeaux, Systems