Intelligent Sensing, Control and Optimization for Sustainable Cyber-Physical Systems
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (13 September 2023) | Viewed by 198
Special Issue Editors
Interests: communication based train control; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: wireless network; machine learning; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable cyber-physical systems refer to next-generation networked systems whose normal functioning largely relies on the cyber-physical interactions among neighbored cyber-physical individuals. Many modern critical infrastructures can be modeled as sustainable CPS. Typical examples of such systems include power grids, the Internet, industrial sensor networks and public transportation systems. Advances in sensing, communication and control technology open opportunities for the implementation of various intelligent sensing, control and optimization strategies for CPS. Within this context, many advantages can be yielded from CPS compared with the traditional networked systems (including both complex networks and multi-agent systems), such as a high precision sensing and control ability, powerful on-line optimization ability, favorable fault-tolerant capability and high scalability. However, many issues need to be addressed before all the above-mentioned advantages can be realized.
This Special Issue aims to establish a forum for international researchers from different fields of electrical engineering, systems and control theory, computer science and applied mathematics, to present and evaluate the most recent developments and new ideas in the intelligent sensing, control and optimization of sustainable CPS, regarding both fundamental theory and practical applications.
Potential topics include, but are not limited to the following:
- Condition monitoring of key equipment in sustainable CPS;
- Advanced sensing solutions for sustainable CPS;
- Multimodal sensor fusion and data analysis;
- Real-time process monitoring for sustainable CPS;
- Process optimization and control of sustainable CPS;
- Digital twin-assisted sustainable CPS;
- Prognostics and health management (PHM) applications in sustainable CPS;
- Real-time and reliable communication in sustainable CPS;
- Sensing and communication security in sustainable CPS;
- Adaptive control and optimization in sustainable CPS;
- Hybrid computing for real-time monitoring and control in sustainable CPS.
I/We look forward to receiving your contributions.
Prof. Dr. Li Zhu
Dr. Meng Li
Guest Editors
Manuscript Submission Information
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Keywords
- AI-based sensing
- intelligent control and communication
- AI-based optimization
- digital twin
- machine learning
- cyber-physical systems
