Open AccessOptimal Dynamic Measurement Method Using Digital Moving Average Filter
Author(s) -
А. Л. Шестаков,
A.V. Keller
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1864/1/012073
Subject(s) - signal (programming language) , filter (signal processing) , distortion (music) , control theory (sociology) , computer science , interference (communication) , digital filter , digital signal , inertia , digital signal processing , control (management) , bandwidth (computing) , telecommunications , physics , amplifier , channel (broadcasting) , classical mechanics , artificial intelligence , computer hardware , computer vision , programming language
The theory of optimal dynamic measurements is based on the use of methods of optimal control theory to find a dynamically distorted input signal from the observed output signal. The model of the measuring system contains a Leontief type system, the initial Showalter–Sidorov condition. Inertia of the measuring system and interference lead to distortion of the input signal. We present a numerical method to use a digital moving average filter for the observed signal with subsequent application of the method of optimal dynamic measurement, as well as the results of computational experiments.