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Secure Connected Objects

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Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set – Volume 1

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Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set – Volume 1

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Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

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Enterprise Interoperability


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Data Treatment in Environmental Sciences

Multivaried Approach

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics – Energy, Environment, Economy Set

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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Nonlinear Theory of Elastic Plates

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Cognitive Approach to Natural Language Processing

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Simulation and Modeling of Systems of Systems

Edited by Pascal Cantot, CATOD/DMT, Arcueil Dominique Luzeaux, DGA/UMTER, Bagneux, France

ISBN: 9781848212343

Publication Date: April 2011   Hardback   400 pp.

187.00 USD

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Complex systems, and systems of systems engineering, is currently a major challenge for industry and governments, especially in areas such as defense, aerospace, telecommunications, and transportation. Modeling and simulation are very powerful tools that are used to counter some of the difficulty and complexity of these issues.
This book explains the basic principles of modeling and simulation (M&S), how they can – and should – contribute to the engineering of complex systems and systems of systems and how to improve return on investment (ROI) while avoiding common pitfalls – covering, for example, software engineering aspects, ‘battlelabs’ for systems of systems (SoS) assessment, and M&S economics.
It is designed in a didactic manner, and is illustrated with real world examples, lessons learned, and case studies, so that it can be understood by non-specialists such as complex systems project managers, procurement agents, or decision makers. However it will also prove very valuable for M&S experts who want to expand their knowledge of the field. While it is not designed as a textbook, it can also be a good basis for teaching the use of modeling and simulation for complex system engineering.


1. Simulation: History, Concepts and Examples, Pascal Cantot.
2. Principles of Modeling, Pascal Cantot.
3. Credibility in Modeling and Simulation,Roland Rabeau.
4. Modeling Systems and their Environment, Pascal Cantot.
5. Modeling and Simulation of Complex Systems: Pitfalls and Limitations of Interpretation, Dominique Luzeaux.
6. Simulation Engines and Simulation Frameworks, Pascal Cantot.
7. Distributed Simulation, Jean-Louis Igarza.
8. The Battle Lab Concept, Pascal Cantot.
9. Conclusion: What Return On Investment Can We Expect from Simulation, Dominique Luzeaux.

About the Authors

Pascal Cantot currently manages the modeling and simulation and system engineering area of the French Defense Procurement Agency. He also teaches systems M&S in several engineering academies. During his 18 year-long career in Defense and Aerospace areas, he has developed extensive experience in various fields of modeling and simulation, complex systems engineering and information systems technologies and management.
Dominique Luzeaux is currently Director for Land Systems Acquisition for the French Ministry of Defense, for whom he has worked for over 20 years. He has written over 60 articles in international conferences and journals, and teaches robotics, theoretical computer science and system engineering at graduate level.


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