Robust coding for a class of sources: Applications in control and reliable communication over limited capacity channels
Autor: | Farhadi, A., Charalambous, Charalambos D. |
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Přispěvatelé: | Charalambous, Charalambos D. [0000-0002-2168-0231] |
Rok vydání: | 2008 |
Předmět: |
Mathematical optimization
Kullback–Leibler divergence Information theory General Computer Science Relative entropy Entropy Data_CODINGANDINFORMATIONTHEORY Explicit solutions Trajectories Rényi entropy Limited capacity constraint System stability Shannon lower bound Limited capacity Robust coding Dynamical systems Shannon entropies Entropy (information theory) Electrical and Electronic Engineering Rate distortions Mathematics Communication channels Data reconstruction Shannon's source coding theorem Mechanical Engineering Principle of maximum entropy Source density Channel capacity Finite capacity Schrodinger equation Reliable communication Rhenium Control and Systems Engineering Maximum entropy Restoration Maximum entropy probability distribution Transfer entropy Mini-max Shannon information Robust stability and observability In-control |
Zdroj: | Systems and Control Letters Syst Control Lett |
Popis: | This paper is concerned with the control of a class of dynamical systems over finite capacity communication channels. Necessary conditions for reliable data reconstruction and stability of a class of dynamical systems are derived. The methodology is information theoretic. It introduces the notion of entropy for a class of sources, which is defined as a maximization of the Shannon entropy over a class of sources. It also introduces the Shannon information transmission theorem for a class of sources, which states that channel capacity should be greater or equal to the mini-max rate distortion (maximization is over the class of sources) for reliable communication. When the class of sources is described by a relative entropy constraint between a class of source densities, and a given nominal source density, the explicit solution to the maximum entropy, is given, and its connection to Rényi entropy is illustrated. Furthermore, this solution is applied to a class of controlled dynamical systems to address necessary conditions for reliable data reconstruction and stability of such systems. Crown Copyright © 2008. 57 12 1005 1012 |
Databáze: | OpenAIRE |
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