Model Based Systems Engineering

Zusatztext

This book is a contribution to the definition of a model based system engineering (MBSE) approach, designed to meet the objectives laid out by the INCOSE. After pointing out the complexity that jeopardizes a lot of system developments, the book examines fundamental aspects of systems under consideration. It goes on to address methodological issues and proposes a methodic approach of MBSE that provides, unlike current practices, systematic and integrated model-based engineering processes. An annex describes relevant features of the VHDL-AMS language supporting the methodological issues described in the book.

Autorenportrait

InhaltsangabeLIST OF FIGURES AND TABLE xi ACKNOWLEDGEMENTS xvii FOREWORD xxi Dominique LUZEAUX INTRODUCTION. GOALS OF PROPERTY MODEL METHODOLOGY xxv PART 1. FUNDAMENTALS 1 Chapter 1. General Systems Theory 3 1.1. Introduction 3 1.2. What is a system? 4 1.3. Systems, subsystems and levels 9 1.4. Concrete and abstract objects 11 1.5. Properties 12 1.5.1. Material and formal properties 12 1.5.2. Accidental and essential properties, laws and types 13 1.5.3. Dispositions, structural and behavioral properties 17 1.5.4. Resulting and emerging properties 18 1.6. States, event, process, behavior and fact 20 1.7. Systems of interest 23 CHAPTER 2. TECHNOLOGICAL SYSTEMS 25 2.1. Introduction 25 2.2. Definition of technological systems 25 2.2.1. Artificial autotelic and heterotelic systems 27 2.2.2. Technical-empirical and technological systems 27 2.2.3. Purpose of a technological system 28 2.3. Function, behavior and structure of a technological system 30 2.4. Intended and concomitant effects of a technological system 34 2.5. Modes, mode switching and states 36 2.5.1. Modes of operation 36 2.5.2. Mode switching 36 2.5.3. Operating states 37 2.6. Errors, faults and failures 37 2.7. "The human factor" 39 CHAPTER 3. KNOWLEDGE SYSTEMS 41 3.1. Introduction 41 3.2. Knowledge and its bearers 42 3.3. Intersubjective knowledge 44 3.4. Concepts, propositions and conceptual knowledge 45 3.5. Objective and true knowledge 47 3.6. Scientific and technological knowledge 50 3.6.1. Fundamental sciences 51 3.6.2. Applied sciences and technology 53 3.6.3. Operative technological rules 53 3.6.4. Substantive technological rules 55 3.7. Knowledge and belief 56 CHAPTER 4. SEMIOTIC SYSTEMS AND MODELS 59 4.1. Introduction 59 4.2. Signs and systems of signs 60 4.3. Nomological propositions and law statements 65 4.4. Models, object models, theoretical models and simulation 66 4.5. Representativeness of models and the expressiveness of languages 71 4.5.1. Representativeness of models 71 4.5.2. Expressiveness of a language 73 PART 2. METHODS 77 CHAPTER 5. ENGINEERING PROCESSES 79 5.1. Introduction 79 5.2. Systems engineering process 81 5.2.1. General framework 81 5.2.2. Design process 83 5.2.3. Safety assessment process 88 5.2.4. Requirement and assumption validation 90 5.2.5. Verification of the implementation regarding requirements 91 5.2.6. Managing configurations 92 5.2.7. Process (quality) assurance, certification and coordination with authorities 93 CHAPTER 6. DETERMINING REQUIREMENTS AND SPECIFICATION MODELS 95 6.1. Introduction 95 6.2. Specifications and requirements 98 6.3. Textbased requirements and subjectivity 100 6.4. Objectifying requirements and assumptions through property-based requirements 102 6.4.1. Definition 102 6.4.2. Examples 104 6.4.3. Typology and sources of PBR 106 6.5. Conjunction and comparison of property-based requirements 110 6.5.1. Comparison of two PBRs 111 6.5.2. Conjunction of two PBRs 112 6.6. Interpreting text-based requirements 114 6.6.1. Example 1: FAR29.1303(b) flight and navigation instruments 115 6.6.2. Example 2: FAR29.951(a) Fuel systems - General 119 6.7. Conclusion: specification models and concurrent assertions 121 CHAPTER 7. DESIGNING SOLUTIONS AND DESIGN MODELS 127 7.1. Introduction 127 7.2. Deriving requirements 128 7.3. Basic system model of a type of systems 131 7.4. Dynamic design models of a type of systems 133 7.4.1. Behavioral design model (BDM) 133 7.4.2. Equation-based design models (EDMs) 139 7.5. Derivation and allocation of the system's behavioral requirements 141 7.6. Static design models 142 7.6.1. Composite system model 142 7.6.2. Structural design model 145 7.6.3. Allocation of BDM components to SDM components 146 7.7. Derivation and allocation of sy

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