Problem of reconstructing a disturbance in a linear stochastic equation: the case of incomplete information
Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 19 (2013) no. 4, pp. 214-221

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The problem of reconstructing an unknown deterministic disturbance characterizing the level of random noise in a linear stochastic second-order equation is investigated based on the approach of dynamic inversion theory. The reconstruction is performed with the use of discrete information on a number of realizations of one coordinate of the stochastic process. The problem under consideration is reduced to an inverse problem for a system of ordinary differential equations describing the covariance matrix of the original process. A finite-step solving algorithm based on the method of auxiliary controlled models is suggested. Its convergence rate estimate with respect to the number of measured realizations is obtained.
Keywords: reconstruction of disturbance, stochastic differential equation, incomplete input information.
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     author = {V. L. Rozenberg},
     title = {Problem of reconstructing a disturbance in a linear stochastic equation: the case of incomplete information},
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V. L. Rozenberg. Problem of reconstructing a disturbance in a linear stochastic equation: the case of incomplete information. Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 19 (2013) no. 4, pp. 214-221. http://geodesic.mathdoc.fr/item/TIMM_2013_19_4_a21/