Control and Security of Industrial Cyber–Physical Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 218
Special Issue Editors
Interests: nonlinear control; filtering; power systems; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: networked control system; cyber-physical systems; robust control; optimal control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industrial cyber–physical system is a complex system that deeply integrates information technologies such as computing, communication, and control with physical systems in industrial production. Its core lies in achieving intelligence, precision, and efficiency in industrial production through bidirectional interaction and collaboration between information and physics. The typical application of industrial cyber-physical systems including smart grid, robots, autonomous unmanned systems, intelligent transportation, and more.
Due to the deep coupling between physical systems and cyber systems, the monitoring, modeling, control, and security of cyber–physical systems face unprecedented technological challenges. This Special Issue aims to showcase the latest advancements in the control and security field of industrial cyber–physical systems. Authors are invited to contribute original research papers and conceptual articles addressing various aspects of cyber–physical systems.
Suitable topics include, but are not limited to, the following:
- Distributed Optimization and Control;
- Data Driven Learning and Control;
- Collaborative Control of Multi-agent Systems;
- Secure Control and Optimization;
- Attack and fault detection;
- Privacy Protection and Differential Privacy;
- The applications in smart grid, robots, etc.
Prof. Dr. Meng Zhang
Dr. Meng Li
Guest Editors
Manuscript Submission Information
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Keywords
- cyber-physical systems
- fault detection
- collaborative control of multi-agent systems
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