Artificial Intelligence for Cyber-Physical Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 1185
Special Issue Editor
Interests: cyber-physical systems; real-time systems; robotics; machine learning; wireless communication/networking systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) for Cyber-Physical Systems (CPS) involves developing, implementing, and evaluating AI techniques to enhance the performance, functionality, and autonomy. These systems integrate computational processes with physical operations to achieve real-time monitoring, control, and optimization. AI offers significant benefits for CPS by addressing challenges and unlocking new capabilities in areas, e.g., automation, predictive maintenance, optimization, autonomy, cybersecurity, data analysis, and human–machine interaction. AI techniques optimize various aspects of CPS, leading to cost savings and improved overall performance. Additionally, AI enhances the autonomy of CPS, enabling systems like autonomous vehicles, smart grids, and industrial robots to operate with minimal human intervention. Moreover, AI strengthens security by detecting and responding to cyber threats in real time. AI also processes vast amounts of data generated by CPS, extracting valuable insights and facilitating informed decision-making. Finally, AI improves human interaction with CPS through intuitive interfaces and intelligent assistance, making these systems more user-friendly. Machine learning (ML) models, a subset of AI, play a crucial role in predicting potential system failures and maintenance needs, reducing downtime and improving system reliability.
This Special Issue focuses on emerging trends in AI for CPS with a transformative impact on key sectors such as healthcare, manufacturing, transportation, construction, and industry. We aim to showcase cutting-edge advancements in this field and explore how AI is revolutionizing CPS across various domains. Topics include, but are not limited to, the following:
- Foundations AI/ML techniques of CPS;
- Explainable AI for CPS;
- AI-driven automation and control;
- Safety and resilience for CPS;
- Smart architectures and networking for CPS;
- Human–AI collaboration in CPS;
- Sensing and monitoring in CPS;
- Predictive maintenance and reliability;
- Emerging AI techniques in CPS;
- Edge AI for CPS;
- Specification languages and requirements;
- Autonomy in CPS;
- Design, optimization techniques, and synthesis;
- Testing, verification, certification;
- AI for CPS security;
- Cyber, trust, and privacy in CPS;
- Tools, testbeds, demonstrations, and deployments;
- Applications of AI in CPS in specific sectors, healthcare, manufacturing, infrastructure networks, transportation, construction, energy systems, aerospace, etc.;
- Data analysis and management for CPS;
- Ethical considerations and social implications of AI in CPS;
- AI and the future of CPS.
Dr. Pei-Chi Huang
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- cyber-physical systems (CPS)
- digital twins
- explainable AI
- AI security
- edge AI
- human–AI collaboration
- machine learning
- deep learning
- reinforcement learning
- autonomy
- security
- predictive maintenance
- optimization
- data analysis
- decision-making
- autonomous vehicles
- smart grids
- robotics
- industrial automation
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