Simulation and Modeling of Systems of Systems /

• Άλλοι συγγραφείς: Cantot, Pascal, Luzeaux, Dominique
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Wiley, 2011.
• Σειρά: ISTE.
• Θέματα: Systems engineering > Data processing.; Computer simulation.; SCIENCE > System Theory.; TECHNOLOGY & ENGINEERING > Operations Research.; Systems engineering / Data processing.; Electronic books.

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 el...

Πίνακας περιεχομένων:

• Cover; 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.
• 1.4.2. 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.
• 2.4. 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.
• 3.4.5. 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.
• 4.4. 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.