This easy to read text/reference provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Each chapter corresponds to a short lecture covering a core topic in M&S or systems engineering.

Topics and features:

· Reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field

· Presents contributions from renowned specialists in each topic covered

· Introduces the foundational elements and processes that serve as the groundwork for understanding M&S

· Explores common methods and methodologies used in M&S, explaining the difference between these two similar sounding terms

· Discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogatemodeling, and distributed simulation

· Explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes

· Provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains

Designed to support both professional and undergraduate education in M&S, this helpful and authoritative work presents a comprehensive overview of the discipline, with an emphasis on the key concepts that systems engineers need to understand in order to be effective in their jobs.

Dr. Margaret L. Loper is a Chief Scientist in the Information & Communications Laboratory at Georgia Tech Research Institute, Atlanta, GA, USA.

Zusammenfassung
This easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.

Inhalt

Part I: Modeling & Simulation Fundamentals.- Introduction to Modeling & Simulation.- The Modeling & Simulation Lifecycle Process.- Fidelity, Resolution, Accuracy and Uncertainty.- Conceptual Modeling.- Types of Models.- Model Verification & Validation.- Part II: Methods and Methodologies.- Modeling the Environment.- Modeling Behavior.- Modeling Time.- Discrete Event Simulation.- Continuous Time Simulation.- Agent Based Simulation.- System Dynamics Simulation.- Hardware-in-the-Loop Simulation.- Human-in-the-Loop Simulation.- Part III: Experimentation, Execution & Results.- Design of Experiments.- Surrogate Modeling.- Monte Carlo Analysis.- Wargames.- Distributed Simulation & Architectures.- Part IV: Introduction to Systems Engineering.- Systems Engineering Fundamentals.- Introduction to Systems Thinking.- Model Based Systems Engineering.- Part V: M&S in Systems Engineering Life Cycle.- Real-time Data Driven Arterial Simulation for Performance Measure Estimation.- Rotorcraft Pilot's Associate.- Framework Assessing Cost and Technology.- Model Based Systems Engineering: Extracorporeal Membrane Oxygenation (ECMO) Therapy.- Computational Modeling of Complex Enterprise Systems: A Multi-Level Approach.- Real Time Simulation of a Nuclear Power Plant with Embedded Hardware.- Return on Investment Metrics for Funding Modeling and Simulation.