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Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
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A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.
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Keywords
- adaptation
- Allocation
- ampliative reasoning mechanism
- architecture layer
- Automatic Code Generation
- autonomous cyber-physical systems
- CBD
- complexity
- component allocation
- component-based development
- component-based software engineering
- computational functions
- Cyber Physical Systems
- cyber-physical systems
- data-driven system control
- distributed control
- distributed design
- distribution network
- EAST-ADL
- embedded systems
- Energy consumption
- Ethics
- field test
- Fixed-Priority Preemptive Scheduling (FPPS)
- GPU
- GPU component
- History of engineering & technology
- human/socially-centered applications
- IDE
- Internet of Things
- microgrid
- mixed-criticality systems
- Mode
- mode-switch
- model testing
- model-based design
- multi-core
- mutation testing
- n/a
- nano-bio-info-cogno technologies
- plug-n-play
- procedural abduction
- Reactive Systems
- Real-time
- Real-Time Systems
- resilience
- run-time acquired data
- Scheduling
- self-adaptation capability
- self-generated intelligence
- self-similar architecture
- smart cyber-physical systems
- Software Component
- Systems engineering
- Technology, engineering, agriculture
- Technology: general issues
- time-triggered system
- uncertainty
Links
DOI: 10.3390/books978-3-03943-021-5Editions