Information Theory for Control, Games, and Decision Problems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 5817
Special Issue Editors
Interests: information theory; physical layer security and privacy; statistical signal processing; communications; networked control
Special Issues, Collections and Topics in MDPI journals
Interests: empirical coordination; shannon theory; game theory; wireless communications; repeated game with imperfect monitoring; source and channel coding; physical layer security
Special Issue Information
Dear Colleagues,
Originally Shannon's information theory was developed deriving fundamental bounds on the rate of communication regardless the application, thus semantic aspects of the communication were not taken into account. This has led to specific operational definitions that are in particular not suitable for time-sensitive applications and setups.
Since optimality is not guaranteed for separating processing for communication and the application, typically upper and lower bounds on performance have been derived for specific applications. In particular fundamental results have been obtained in the last years for problems in distributed control and decision theory. This special issue should take up this development and provide the space to for original works dealing with cross-disciplinary problems where information theory is used for (distributed) control problems or decision problems, which may also include problems from operations research. Accordingly, topics of interest include, but are not restricted to, the following
- Interplay between information, control, and/or decision theories
- Information-theoretic methods in game theory
- Signaling games and related problems in networked systems
- Coordination problems under information constraints
- Coding theory for control and decision problems
- Optimal co-design of communication and control for networked control
- Sufficient and necessary conditions on communication requirements for stability
- Entropy in control, dynamical systems and information theory
- Information theoretic security and privacy for control and decision systems
- Quantisation and code design for control/decision problems
- Metric and topological entropy concepts and their applications in control and game theory
Prof. Dr. Tobias Oechtering
Dr. Maël Le Treust
Prof. Dr. Serdar Yuksel
Guest Editors
Manuscript Submission Information
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