Cantot / Luzeaux Simulation and Modeling of Systems of Systems

1. Auflage 2013
ISBN: 978-1-118-61665-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 400 Seiten, E-Book

Systems engineering is the design of a complex interconnection ofmany elements (a system) to maximize a specific measure of systemperformance. It consists of two parts: modeling, in which eachelement of the system and its performance criteria are described;and optimization in which adjustable elements are tailored to allowpeak performance. Systems engineering is applied to vast numbers ofproblems in industry and the military. An example of systemsengineering at work is the control of the timing of thousands ofcity traffic lights to maximize traffic flow. The complex andintricate field of electronics and computers is perfectly suitedfor systems engineering analysis and in turn, advances incommunications and computer technology have made more advancedsystems engineering problems solvable. Thus, the two areas fed offof one another. This book is a basic introduction to the use ofmodels and methods in the engineering design of systems. It isaimed at students as well as practicing engineers.
The concept of the "systems of systems" is discussedextensively, after a critical comparison of the differentdefinitions and a range of various practical illustrations. Italso provides key answers as to what a system of systems isand how its complexity can be mastered.

Autoren/Hrsg.

Cantot, Pascal

Luzeaux, Dominique

Inhaltsverzeichnis

Introduction xi
Chapter 1. Simulation: History, Concepts, and Examples1
Pascal CANTOT
1.1. Issues: simulation, a tool for complexity 1
1.2. History of simulation 14
1.3. Real-world examples of simulation 24
1.4. Basic principles 29
1.5. Conclusion 51
1.6. Bibliography 52
Chapter 2. Principles of Modeling 57
Pascal CANTOT
2.1. Introduction to modeling 57
2.2. Typology of models 58
2.3. The modeling process 66
2.4. Simulation project management 91
2.5. Conclusion 94
2.6. Bibliography 94
Chapter 3. Credibility in Modeling and Simulation99
Roland RABEAU
3.1. Technico-operational studies and simulations 99
3.2. Examples of technico-operational studies based onsimulation tools 101
3.3. VV&A for technico-operational simulations 102
3.4. VV&A issues 108
3.5. Conclusions 145
3.6. Bibliography 152
Chapter 4. Modeling Systems and Their Environment159
Pascal CANTOT
4.1. Introduction159
4.2. Modeling time 160
4.3. Modeling physical laws 163
4.4. Modeling random phenomena 166
4.5. Modeling the natural environment 178
4.6. Modeling human behavior 193
4.7. Bibliography 203
Chapter 5. Modeling and Simulation of Complex Systems:Pitfalls and Limitations of Interpretation 207
Dominique LUZEAUX
5.1. Introduction 207
5.2. Complex systems, models, simulations, and their link withreality 209
5.3. Main characteristics of complex systems simulation 218
5.4. Review of families of models 228
5.5. An example: effect-based and counter-insurgency militaryoperations 244
5.6. Conclusion 246
5.7. Bibliography 249
Chapter 6. Simulation Engines and Simulation Frameworks253
Pascal CANTOT
6.1. Introduction 253
6.2. Simulation engines 254
6.3. Simulation frameworks 260
6.4. Capitalization of models 290
6.5. Conclusion and perspectives 291
6.6. Bibliography 292
Chapter 7. Distributed Simulation 295
Louis IGARZA
7.1. Introduction 295
7.2. Basic mechanisms of distributed simulation 305
7.3. Main interoperability standards 312
7.4. Methodological aspects: engineering processes fordistributed simulation 326
7.5. Conclusion: the state of the art: toward"substantive" interoperability 331
7.6. Bibliography 331
Chapter 8. The Battle Lab Concept 333
Pascal CANTOT
8.1. Introduction 333
8.2. France: Laboratoire Technico-Opérationnel (LTO)336
8.3. United Kingdom: the Niteworks project 350
8.4. Conclusion and perspectives 351
8.5. Bibliography 352
Chapter 9. Conclusion: What Return on Investment Can WeExpect from Simulation? 355
Dominique LUZEAUX
9.1. Returns on simulation for acquisition 355
9.2. Economic analysis of gains from intelligent use ofsimulations 357
9.3. Multi-project acquisition 367
9.4. An (almost) definitive conclusion: conditions for success368
9.5. Bibliography 371
Author Biographies 373
List of Authors 375
Index 377