Model Based Systems Engineering Fundamentals and Methods

by Micouin, Patrice

• ISBN13: 9781848214699
• ISBN10: 1848214693
• Edition: 1st
• Format: Hardcover
• Copyright: 2014-10-06
• Publisher: Wiley-ISTE

Summary

This book is a contribution to the definition of a model based system engineering (MBSE) approach which would meet the objectives laid out by the INCOSE . After a reminder about complexity that jeopardizes a lot of 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 methodic approach of MBSE that provides, at the opposite of current practices , systematic and integrated model based engineering processes. An annex describes relevant features of the VHDL-AMS language supporting the methodological issues described previously.

Author Biography

Patrice Micouin is a consultant and researcher at Laboratoire des Sciences de l'Information et des Systèmes in Marseille, France, as well as Managing Partner at MICOUIN Consulting.

Table of Contents

1 Model Based Systems Engineering Goals

1.1 The Nam Pyo Suh Theory of Complexity

1.2 Systems development complexity root causes and effects

1.3 Model Based Systems Engineering to master systems development

2 Fundamentals

2.1 The Mario Bunge’s General System Theory

2.2 Technological Systems

2.3 Knowledge Systems

2.4 Semiotic System or Models

3 Methods

3.1 Engineering processes

3.2 Micouin’s Property Based Requirement theory and requirement determination

3.3 Design solution definition behavioral and structural aspects

3.4 Requirements and assumptions validation

3.5 Hardware and software realization considerations

3.6 Implementation verification

3.7 Safety objectives, failure modes and mitigation means

3.8 Collaborative working considerations

3.9 Configuration management considerations

4 Annex - An example of MBSE language : VHDL-AMS

4.1 Requirements modeling and simulation features

4.2 Behavioral and structural architecture modeling and simulation features

4.3 Simulating architectures, requirements and model validation

4.4 Simulation and verification data

4.5 Fault generation and architecture robustness demonstration

4.6 Configuration features

4.7 Collaborative working space and model sharing capabilities