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Charalambos D. Charalambous
Researcher at University of Cyprus
Publications - 345
Citations - 2954
Charalambos D. Charalambous is an academic researcher from University of Cyprus. The author has contributed to research in topics: Optimal control & Stochastic control. The author has an hindex of 26, co-authored 338 publications receiving 2718 citations. Previous affiliations of Charalambos D. Charalambous include Old Dominion University & Royal Institute of Technology.
Papers
More filters
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LQG optimality and separation principle for general discrete time partially observed stochastic systems over finite capacity communication channels
TL;DR: This paper is concerned with control of stochastic systems subject to finite communication channel capacity, and necessary conditions for reconstruction and stability of system outputs are derived using the Information Transmission theorem and the Shannon lower bound.
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Stochastic Uncertain Systems Subject to Relative Entropy Constraints: Induced Norms and Monotonicity Properties of Minimax Games
TL;DR: The higher the dissipation the higher the entropy of the system, which has implications in computing the induced norm associated with robustness, and the results are applied to linear-quadratic-Gaussian problems.
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Minimum principle for partially observable nonlinear risk-sensitive control problems using measure-valued decompositions
TL;DR: In this paper, the authors derived a minimum principle for partially observed controlled diffusions with correlation between signals and observation noises, when the sample cost criterion is an exponential of integral, and applied it to solve the linear-exponential-quadratic-Gaussian trackmgj problem.
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Maximum likelihood parameter estimation from incomplete data via the sensitivity equations: the continuous-time case
TL;DR: It is shown that the EM algorithm can be executed efficiently, provided the unnormalized conditional density of nonlinear filtering is either explicitly solvable or numerically implemented.
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Nonanticipative Rate Distortion Function and Relations to Filtering Theory
TL;DR: The relation between nonanticipative rate distortion function (RDF) and filtering theory is discussed on abstract spaces and the realization of the reconstruction conditional distribution which achieves the infimum of the nonant anticipative RDF is described.