Journal of Automation and Information Sciences

ISSN for PRINT: 1064-2315

For Online Access

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2003, Volume35

Issue 6

68 pages

DOI: 10.1615/JAutomatInfScien.v35.i6

Issue price - $221.00

Sergey L. Kivva
Institute of Mathematical Machines and Systems of National Academy of Sciences of Ukraine, Kyiv, Ukraine

The problem of forecast refinement and model parameters of radionuclide migration with surface water by measuring data is considered. We assume that only a priori estimations of the initial state and model parameters are known. This problem is reduced to an optimization problem with a quadratic quality functional in the vicinity of a priori estimations of the initial state and model parameters. We have proved the possibility of one-valued solvability of direct and adjoint problems for the state function of a model. Differential properties of the quality functional are investigated and the necessary conditions of its minimum are found. For weight functions of the quality functional the sufficient conditions of existence of a unique stationary point on a set of the feasible values of model parameters are obtained.

DOI: 10.1615/JAutomatInfScien.v35.i6.90 Download article, 16 pages

Article price - $45.00

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