Editorial: Entropy in Networked Control

Area of Science:

• Control Systems Engineering
• Information Theory
• Networked Systems

Background:

• Networked control systems (NCS) integrate control capabilities with communication networks.
• Entropy, a measure of uncertainty or disorder, plays a crucial role in understanding information flow and system dynamics in NCS.
• The complexity and inherent uncertainty in NCS necessitate advanced analytical tools.

Purpose of the Study:

• To provide a comprehensive overview of the Special Issue on Entropy in Networked Control.
• To highlight the significance of entropy in analyzing and designing NCS.
• To summarize the diverse research contributions presented in the issue.

Main Methods:

• This editorial summarizes existing and emerging research trends.
• It does not present new experimental or theoretical methods but rather synthesizes findings from multiple papers.
• Focus is on conceptual frameworks and analytical approaches related to entropy in NCS.

Main Results:

• The Special Issue covers a range of topics including entropy-based performance analysis, robust control under uncertainty, and information-theoretic limits in NCS.
• Key findings from various contributions are synthesized, emphasizing the impact of entropy on system stability, resource allocation, and security.
• The collection showcases advancements in applying entropy concepts to solve complex networked control problems.

Conclusions:

• Entropy is a fundamental concept for understanding and optimizing networked control systems.
• The Special Issue provides valuable insights and a collection of cutting-edge research for researchers and practitioners in the field.
• Future research directions are suggested, emphasizing the growing importance of information-theoretic approaches in control engineering.