LEADER 05843nam 2200781 a 450 001 9910814277503321 005 20200520144314.0 010 $a9781118616727 010 $a1118616723 010 $a9781118616956 010 $a1118616952 010 $a9781299315211 010 $a1299315216 010 $a9781118616659 010 $a1118616650 035 $a(CKB)2560000000100604 035 $a(EBL)1143608 035 $a(SSID)ssj0000834137 035 $a(PQKBManifestationID)11519929 035 $a(PQKBTitleCode)TC0000834137 035 $a(PQKBWorkID)10936396 035 $a(PQKB)11462945 035 $a(Au-PeEL)EBL1143608 035 $a(CaPaEBR)ebr10671503 035 $a(CaONFJC)MIL462771 035 $a(OCoLC)830161695 035 $a(CaSebORM)9781118616956 035 $a(MiAaPQ)EBC1143608 035 $a(OCoLC)857814874 035 $a(OCoLC)ocn857814874 035 $a(EXLCZ)992560000000100604 100 $a20130322d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSimulation and modeling of systems of systems /$fedited by Pascal Cantot, Dominique Luzeaux 205 $a1st edition 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2011 215 $a1 online resource (394 p.) 225 1 $aISTE 300 $aAdapted and updated from: Simulation et mode?lisation des syste?mes de syste?mes : vers la mai?trise de la complexite? published 2009 in France by Hermes Science/Lavoisier. 311 08$a9781848212343 311 08$a1848212348 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1: Simulation: History, Concepts, and Examples; 1.1. Issues: simulation, a tool for complexity; 1.1.1. What is a complex system?; 1.1.2. Systems of systems; 1.1.3. Why simulate?; 1.1.4. Can we do without simulation?; 1.2. History of simulation; 1.2.1. Antiquity: strategy games; 1.2.2. The modern era: theoretical bases; 1.2.3. Contemporary era: the IT revolution; 1.3. Real-world examples of simulation; 1.3.1. Airbus; 1.3.2. French defense procurement directorate; 1.4. Basic principles; 1.4.1. Definitions 327 $a1.4.2. Typology1.5. Conclusion; 1.6. Bibliography; Chapter 2. Principles of Modeling; 2.1. Introduction to modeling; 2.2. Typology of models; 2.2.1. Static/dynamic; 2.2.2. Deterministic/stochastic; 2.2.3. Qualities of a model; 2.3. The modeling process; 2.3.1. Global process; 2.3.2. Formulation of the problem; 2.3.3. Objectives and organization; 2.3.4. Analysis of the system; 2.3.5. Modeling; 2.3.6. Data collection; 2.3.7. Coding/implementation; 2.3.8. Verification; 2.3.9. Validation; 2.3.10. Execution; 2.3.11. Use of results; 2.3.12. Final report; 2.3.13. Commissioning/capitalization 327 $a2.4. Simulation project management2.5. Conclusion; 2.6. Bibliography; Chapter 3. Credibility in Modeling and Simulation; 3.1. Technico-operational studies and simulations; 3.2. Examples of technico-operational studies based on simulation tools; 3.2.1. Suppression of aerial defenses; 3.2.2. Heavy helicopters; 3.3. VV&A for technico-operational simulations; 3.3.1. Official definitions; 3.3.2. Credibility; 3.3.3. Key players in the domain; 3.4. VV&A issues; 3.4.1. Elements concerned; 3.4.2. Verification and validation techniques; 3.4.3. VV&A approaches; 3.4.4. Responsibilities in a VV&A process 327 $a3.4.5. Levels of validation3.4.6. Accreditation; 3.5. Conclusions; 3.5.1. Validation techniques; 3.5.2. Validation approaches; 3.5.3. Perspectives; 3.6. Bibliography; Chapter 4. Modeling Systems and Their Environment; 4.1. Introduction; 4.2. Modeling time; 4.2.1. Real-time simulation; 4.2.2. Step-by-step simulation; 4.2.3. Discrete event simulation; 4.2.4. Which approach?; 4.2.5. Distributed simulation; 4.3. Modeling physical laws; 4.3.1. Understanding the system; 4.3.2. Developing a system of equations; 4.3.3. Discrete sampling of space; 4.3.4. Solving the problem 327 $a4.4. Modeling random phenomena4.4.1. Stochastic processes; 4.4.2. Use of probability; 4.4.3. Use of statistics; 4.4.4. Random generators; 4.4.5. Execution and analysis of results of stochastic simulations; 4.5. Modeling the natural environment; 4.5.1. Natural environment; 4.5.2. Environment databases; 4.5.3. Production of an SEDB; 4.5.4. Quality of an SEDB; 4.5.5. Coordinate systems; 4.5.6. Multiplicity of formats; 4.6. Modeling human behavior; 4.6.1. Issues and limitations; 4.6.2. What is human behavior?; 4.6.3. The decision process; 4.6.4. Perception of the environment; 4.6.5. Human factors 327 $a4.6.6. Modeling techniques 330 $aSystems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance. Systems engineering is applied to vast numbers of problems in industry and the military. An example of systems engineering at work is the control of the timing of thousands of city traffic lights to maximize traffic flow. The complex and intricate field 410 0$aISTE 606 $aSystems engineering$xData processing 606 $aComputer simulation 615 0$aSystems engineering$xData processing. 615 0$aComputer simulation. 676 $a003 701 $aCantot$b Pascal$01723399 701 $aLuzeaux$b Dominique$01649792 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814277503321 996 $aSimulation and modeling of systems of systems$94124610 997 $aUNINA