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Forthcoming

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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Model-Based Systems Engineering

Fundamentals and Methods

Patrice Micouin, Laboratoire des Sciences de l'Information et des Systèmes, Aix-en-Provence, France

ISBN: 9781848214699

Publication Date: August 2014   Hardback   306 pp.

130.00 USD


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Description

This book is a contribution to the definition of a model-based system engineering (MBSE) approach that would meet the objectives laid out by the International Council on Systems Engineering (INCOSE).
After a reminder about complexity, which jeopardizes many system developments, and the MBSE objectives to face this complexity, the book addresses fundamental ontological and epistemological aspects of systems under consideration (technological systems, knowledge and models).
Afterwards, it addresses methodological issues and proposes a methodical approach to MBSE that provides, on the contrary to current practices, systematic and integrated model based engineering processes.
An appendix describes relevant features of the VHDL-AMS language supporting the methodological issues described previously.

Contents

Part 1. Fundamentals
1. General Systems Theory.
2. Technological Systems.
3. Knowledge Systems.
4. Semiotic Systems and Models.
Part 2. Methods
5. Engineering Processes.
6. Determining Requirements and Specification Models.
7. Designing Solutions and Design Models.
8. Validating Requirements and Assumptions.
9. Verifying the Implementation Step by Step.
10. Safety Engineering.
11. Property Model Methodology Development Process.

About the Authors

Patrice Micouin is a consultant and researchers at Laboratoire des Sciences de l'Information et des Systèmes in Aix-en-Provence, France, as well as Consultant at MICOUIN Consulting.

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