Developments and Strategies for Cyber-Physical Systems in the Age of Industry 5.0
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: 31 May 2025 | Viewed by 395
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are pleased to announce a new Special Issue entitled “Developments and Strategies for Cyber-Physical Systems in the Age of Industry 5.0”. Industry 5.0 represents a new and emerging phase of industrialization that sees humans working alongside advanced technology and intelligent robots to enhance workplace processes. The advent of Industry 5.0 brings forth a new era of digital transformation, characterized by the continuous integration of cyber systems and physical systems in order to enhance efficiency, productivity, and sustainability.
Cyber-Physical Systems (CPSs) bridge the gap between the virtual and physical worlds in order to revolutionize various domains, including manufacturing, transportation, healthcare, energy, and cities. We invite researchers to contribute original research articles, reviews, and case studies that explore the latest developments, challenges, applications, and strategies in the field of CPS within the context of Industry 5.0.
Potential topics of interest include, but are not limited to, the following:
- Advances in CPS design, modeling, and simulation techniques;
- Integration of artificial intelligence, machine learning, and data analytics in CPS;
- Security, privacy, and trustworthiness in CPS deployment;
- Human–CPS interaction and collaboration frameworks;
- Industrial applications and case studies of CPS;
- Resilience and fault tolerance mechanisms in CPS;
- Ethical, legal, and societal implications of CPS adoption;
- Standardization, interoperability, and regulatory aspects of CPS;
- Sustainability in CPS strategy and development;
- Component-based real-time scheduling algorithm and schedulability analysis for CPS;
- Mixed-criticality systems and case studies (e.g., automotive/avionic systems).
Dr. Jaewoo Lee
Guest Editor
Manuscript Submission Information
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Keywords
- cyber-physical systems
- machine learning
- component
- mixed-criticality
- simulation
- modelling
- design
- factory
- sustainability
- scheduling
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