Information Theory in Control Systems, 2nd Edition

Dear Colleagues,

An important area of investigation in control science is that of networked multiagent systems. Information is exchanged between agents through communication channels subject to various imperfections, including delay transmissions, lost packets, data quantization, and decentralized architectures. Interaction between control systems and information theory has thus become a challenging task which has received much attention over the last few years.

The aim of this Special Issue on “Information Theory in Control Systems” is to present new theoretical developments and potential applications bridging the areas of control, communications, and information theory.

Topics of the issue include, without being restricted to, the following:

• Networked control systems under communication constraints;
• Estimation and filtering theory for multisensor systems;
• Sampled-data control for networked control systems;
• Stochastic optimal control with randomized control strategies;
• Entropy-based approaches in optimal control;
• Feedback control, state-estimation, and consensus problems for multiagent systems;
• Entropy methods in estimation problems;
• Fault-tolerant control design for networked control systems with communication constraints;
• Feedback control under fading communication channels;
• Event-triggered control and filtering for multiagent systems;
• Security control of networked systems under data availability and integrity attacks.

Prof. Dr. Adrian-Mihail Stoica
Guest Editor

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