Application of Information Theory to Physical Modeling and State Awareness in Complex Systems

Dear Colleagues,

With the development of technology, complex systems are becoming increasingly common in various fields, such as power systems, the Internet, financial markets, biomedicine, and robot control. These systems are composed of many components and interactions, and as the system expands, the analysis and prediction of its behavior become increasingly difficult. Therefore, it is urgent to find effective methods to solve this problem. Information theory has attracted increasing attention in the modeling, analysis, and control research of complex systems due to its unique advantages in dealing with noise, nonlinear relationships, high-dimensional data, and other challenges.

This Special Issue focuses on the application of information theory in the physical modeling and state perception of complex systems. It focuses on the interdisciplinary research of information theory with other disciplines, such as information physical systems, network science, power systems, and other fields of modeling and state perception research. The aim is to provide effective methods and tools for solving practical problems. The topics include, but are not limited to: multi-physics field modeling methods in complex systems, data-driven state perception methods, state measurement and fault analysis methods. Modeling applications such as new energy systems, smart grids, and equipment digital twins are also welcome.

Prof. Dr. Zhanlong Zhang
Dr. Yihua Dan
Guest Editors

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