The quality of state estimation of measurements for model polluted river
DOI:
https://doi.org/2080-9069Keywords:
mathematical modeling, partial differential equations, simulation experiments, Kalman-Bucy filter, quality estimationAbstract
The article presents the problems of the simulation study the quality of state estimation by filter Kalman-Bucy type. The test object was a river polluted biochemically described partial differential equations of hyperbolic type. Quality estimation determined using the sum square errors of estimation representing a functional of the solutions under consideration. On the simulated object interaction of stochastic interference of Gaussian distributions for various parameters. Also discussed the issue of selection of the filter gain, the initial estimation, the intensity of interference and measuring their impact on the accuracy of the mapping. Obtained varied quality of state estimation by choosing different values of parameters during the simulationPublished
2014-06-30
How to Cite
KWATER, T., ŻESŁAWSKA, E., & KRUTYS, P. (2014). The quality of state estimation of measurements for model polluted river. Journal of Education, Technology and Computer Science, (1), 611–616. https://doi.org/2080-9069
Issue
Section
SELECTED PROBLEMS OF SCHOOL EDUCATION