Open AccessFiltering in discrete systems with multiplicative perturbations and unknown input
Author(s) -
K. S. Kim,
Valery I. Smagin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042053
Subject(s) - multiplicative function , smoothing , basis (linear algebra) , mathematics , filter (signal processing) , filtering problem , computer science , mathematical optimization , algorithm , control theory (sociology) , filter design , statistics , artificial intelligence , mathematical analysis , geometry , control (management) , computer vision
The problem of filter synthesis for discrete systems with multiplicative perturbations and an unknown input is considered. The problem is solved on the basis of the separation principle using optimal recurrent filtering, the least squares method and smoothing procedures.