Loper | Modeling and Simulation in the Systems Engineering Life Cycle | Buch | 978-1-4471-7035-8 | www.sack.de

Buch, Englisch, 410 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 7283 g

Reihe: Simulation Foundations, Methods and Applications

Loper

Modeling and Simulation in the Systems Engineering Life Cycle

Core Concepts and Accompanying Lectures
Softcover Nachdruck of the original 1. Auflage 2015
ISBN: 978-1-4471-7035-8
Verlag: Springer

Core Concepts and Accompanying Lectures

Buch, Englisch, 410 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 7283 g

Reihe: Simulation Foundations, Methods and Applications

ISBN: 978-1-4471-7035-8
Verlag: Springer


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, 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. 

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.

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Part I: Modeling & Simulation Fundamentals

Introduction to Modeling & Simulation
Margaret Loper and Andy Register

The Modeling & Simulation Lifecycle Process
Margaret Loper

Fidelity, Resolution, Accuracy, and Uncertainty
Dale Pace

Conceptual Modeling
Charles Turnitsa

Types of Models
Robert Sargent

Model Verification & Validation
Robert Sargent

Part II: Methods and Methodologies

Modeling the Environment
Robert Richbourg

Modeling Behavior
Amy Henninger and Betty Whitaker

Modeling Time
Margaret Loper

Discrete Event Simulation
Dave Goldsman and Paul Goldsman

Continuous Time Simulation
Andy Register

Agent Based Simulation
Betty Whitaker

System Dynamics Simulation
Betty Whitaker

Hardware-in-the-Loop Simulation
Ron Ogan

Human-in-the-Loop Simulation
Dennis Folds

Part III: Experimentation, Execution & Results

Design of Experiments
Steve Gordon

Surrogate Modeling
Tommer Ender and Santiago Balestrini-Robinson

Monte Carlo Analysis
Andy Register

Wargames
Joe Saur

Distributed Simulation & Architectures
Margaret Loper

Part IV: Introduction to Systems Engineering

Systems Engineering Fundamentals
Carlee Bishop

Introduction to Systems Thinking
Tom McDermott

Model Based Systems Engineering
Thomas Holland

Part V: M&S in Systems Engineering Life Cycle

Real-time Data Driven Arterial Simulation for Performance Measure Estimation
Dwayne Henclewood, Wonho Suh, Angshuman Guin, Randall Guensler, Richard Fujimoto and Michael Hunter

Rotorcraft Pilot's Associate
Kendra Befort and Bill Baker

Framework Assessing Cost and Technology
Tommer Ender, Daniel C. Browne, Michael O’Neal and William W. Yates

Model Based Systems Engineering: Extracorporeal Membrane Oxygenation (ECMO) Therapy
Nathan Adams, L. Drew Pihera, Stephen Blalock and Matthew Paden

Computational Modeling of Complex Enterprise Systems: A Multi-Level Approach
Rahul Basole and Doug Bodner

Real Time Simulation of a Nuclear Power Plant with Embedded Hardware
Brian Berenbach

Return on Investment Metrics for Funding Modeling and Simulation
Steve Gordon



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