Complex schemes of filtering in experimental data estimation

Scope of the work is the decision of a high accuracy experimental data reception problem in medical, ecological and chemical data processing software. Using complex schemes of filtering improves reception of experimental data with high reliability. Approach of data acquisition about random parameter with a required degree of reliability is investigated. The approach is used for control of experimental stochastic parameter on the basis of the found interval estimations regression dependences [1,2]. Key-Words: Complex scheme, Control system, Filtering, Kalman filter, Rate of convergence, Robustness, Sensor