Intelligent Optimization, Decision-Making and Privacy Preservation in Cyber–Physical Systems

Dear Colleagues,

With the rapid advancements in technologies like 5G/6G communication and artificial intelligence, cyber-physical systems (CPSs) play a vital role in diverse applications like smart grids, autonomous vehicles, and industrial automation. CPSs integrate data transmission channels with physical devices, employing a 5C hierarchical architecture (connection, cyber, conversion, cognition, and configuration) and intelligent perception technology. This integration enhances the real-time optimization of computing and communication resources using mathematical models and computational algorithms.

Intelligent optimization, decision-making and privacy-preserving problems are crucial aspects that aim to improve efficiency, reliability and security in CPSs. This promotes the motivation for investigating machine learning, artificial intelligence and advanced optimization algorithms to control CPSs. This Topic aims to bring together researchers and practitioners from academia and industry to present the latest advancements in intelligent optimization, decision-making and privacy-preserving in CPSs. We also invite contributions that explore the application of advanced mathematical tools in CPSs. Topics of interest include, but are not limited to:

1. Intelligent optimization and security control in CPSs and its industrial application;
2. Advanced privacy-preserving algorithms for CPSs and its industrial application;
3. Application of statistical methods and big data processing and analysis in CPSs for smart grids;
4. Security optimization and privacy-preserving in intelligent transportation CPSs;
5. AI-based big data analysis and decision-making in power CPSs;
6. Distributed privacy-preserving estimation in CPSs;
7. Advanced mathematical modeling and analysis in intelligent complex network systems within CPSs.

Prof. Dr. Lijuan Zha
Prof. Dr. Jinliang Liu
Prof. Dr. Jian Liu
Topic Editors