Multi-Paradigm Modelling for Cyber-Physical Systems explores modeling and analysis as crucial activities in the development of Cyber-Physical Systems, which are inherently cross-disciplinary in nature and require distinct modeling techniques related to different disciplines, as well as a common background knowledge. This book will serve as a reference for anyone starting in the field of CPS who needs a solid foundation of modeling, including a comprehensive introduction to existing techniques and a clear explanation of their advantages and limitations. This book is aimed at both researchers and practitioners who are interested in various modeling paradigms across computer science and engineering.
1. Chapter 1. Introduction - p. 1 2. Part 1: Ontological framework - p. 6 3. Chapter 2. An ontological foundation for multi-paradigm modelling for cyber-physical systems - p. 9 4. Chapter 3. A feature-based ontology for cyber-physical systems - p. 45 5. Chapter 4. An ontology for multi-paradigm modelling - p. 67 6. Chapter 5. An integrated ontology for multi-paradigm modelling for cyber-physical systems - p. 123 7. Part 2: Methods and tools - p. 145 8. Chapter 6. Enabling composition of cyber-physical systems with the two-hemisphere model-driven approach - p. 149 9. Chapter 7. Multi-paradigm modelling and co-simulation in prototyping a cyber-physical production system - p. 169 10. Chapter 8. Agent-based cyber-physical system development with SEA_ML++ - p. 195 11. CREST – a DSML for hybrid CPS modelling - p. 221 12. Part 3: Case studies - p. 242 13. Development of an IoT and WSN based CPS using MPM approach: a smart fire detection case study - p. 245 14. Chapter 11. Development of industry oriented cross-domain study programs in cyber-physical systems for Belarusian and Ukrainian universities - p. 271 15. Index - p. 293
Multi-Paradigm Modelling for Cyber-Physical Systems explores modeling and analysis as crucial activities in the development of Cyber-Physical Systems, which are inherently cross-disciplinary in nature and require distinct modeling techniques related to different disciplines, as well as a common background knowledge. This book will serve as a reference for anyone starting in the field of CPS who needs a solid foundation of modeling, including a comprehensive introduction to existing techniques and a clear explanation of their advantages and limitations. This book is aimed at both researchers and practitioners who are interested in various modeling paradigms across computer science and engineering.
1. Chapter 1. Introduction - p. 1 2. Part 1: Ontological framework - p. 6 3. Chapter 2. An ontological foundation for multi-paradigm modelling for cyber-physical systems - p. 9 4. Chapter 3. A feature-based ontology for cyber-physical systems - p. 45 5. Chapter 4. An ontology for multi-paradigm modelling - p. 67 6. Chapter 5. An integrated ontology for multi-paradigm modelling for cyber-physical systems - p. 123 7. Part 2: Methods and tools - p. 145 8. Chapter 6. Enabling composition of cyber-physical systems with the two-hemisphere model-driven approach - p. 149 9. Chapter 7. Multi-paradigm modelling and co-simulation in prototyping a cyber-physical production system - p. 169 10. Chapter 8. Agent-based cyber-physical system development with SEA_ML++ - p. 195 11. CREST – a DSML for hybrid CPS modelling - p. 221 12. Part 3: Case studies - p. 242 13. Development of an IoT and WSN based CPS using MPM approach: a smart fire detection case study - p. 245 14. Chapter 11. Development of industry oriented cross-domain study programs in cyber-physical systems for Belarusian and Ukrainian universities - p. 271 15. Index - p. 293
