Adaptive control for a jump linear system with quadratic cost
Adam Czornik (2004)
Control and Cybernetics
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Displaying similar documents to “Stochastic multivariable self-tuning tracker for non-gaussian systems”
Adaptive control for a jump linear system with quadratic cost
Finite-dimensionality of information states in optimal control of stochastic systems: a Lie algebraic approach
Charalambos D. Charalambous (1998)
Kybernetika
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In this paper we introduce the sufficient statistic algebra which is responsible for propagating the sufficient statistic, or information state, in the optimal control of stochastic systems. Certain Lie algebraic methods widely used in nonlinear control theory, are then employed to derive finite- dimensional controllers. The sufficient statistic algebra enables us to determine a priori whether there exist finite-dimensional controllers; it also enables us to classify all finite-dimensional...
On nearly selfoptimizing strategies for multiarmed bandit problems with controlled arms
Ewa Drabik (1996)
Applicationes Mathematicae
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Two kinds of strategies for a multiarmed Markov bandit problem with controlled arms are considered: a strategy with forcing and a strategy with randomization. The choice of arm and control function in both cases is based on the current value of the average cost per unit time functional. Some simulation results are also presented.
On the adaptive control of countable Markov chains
Petr Mandl (1979)
Banach Center Publications
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Quadratic mean and almost-sure convergence of unbounded stochastic approximation algorithms with correlated observations
E. Eweda, O. Macchi (1983)
Annales de l'I.H.P. Probabilités et statistiques
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An operator-valued stochastic integral, II
D. Kannan (1972)
Annales de l'I.H.P. Probabilités et statistiques
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The distance of a curve to its control polygon.
Jesús Miguel Carnicer, M.S. Floater, Juan M. Peña (2002)
RACSAM
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Recientemente, Nairn, Peters y Lutterkort han acotado la distancia entre una curva de Bézier y su polígono de control en términos de las diferencias entre los puntos de control. Mostramos cómo extender dichas cotas a muchos tipos de curvas utilizadas en el Diseño Geométrico.