Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises

The problem of constructing functional optimal observers (filters) for stochastic control systems with additive noises in discrete time are studied in this work. Under the assumption that there is no filter of the first order, necessary and sufficient conditions for the existence of filters of the s...

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Main Author: Mikhail Kamenshchikov
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/3/370
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author Mikhail Kamenshchikov
author_facet Mikhail Kamenshchikov
author_sort Mikhail Kamenshchikov
collection DOAJ
description The problem of constructing functional optimal observers (filters) for stochastic control systems with additive noises in discrete time are studied in this work. Under the assumption that there is no filter of the first order, necessary and sufficient conditions for the existence of filters of the second and third order are obtained in the canonical basis. Analytical expressions of the transfer function matrix from the input noise to the estimation error are presented. A numerical example is given to compare the performance of filters by the quadratic criterion in the steady state.
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spelling doaj.art-60bc485f0a7f437fb48391f3eebf469c2023-11-23T17:06:24ZengMDPI AGMathematics2227-73902022-01-0110337010.3390/math10030370Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive NoisesMikhail Kamenshchikov0Department of Nonlinear Dynamical Systems and Control Processes, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991 Moscow, RussiaThe problem of constructing functional optimal observers (filters) for stochastic control systems with additive noises in discrete time are studied in this work. Under the assumption that there is no filter of the first order, necessary and sufficient conditions for the existence of filters of the second and third order are obtained in the canonical basis. Analytical expressions of the transfer function matrix from the input noise to the estimation error are presented. A numerical example is given to compare the performance of filters by the quadratic criterion in the steady state.https://www.mdpi.com/2227-7390/10/3/370discrete time functional filteroptimal unbiased estimationsteady state
spellingShingle Mikhail Kamenshchikov
Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
Mathematics
discrete time functional filter
optimal unbiased estimation
steady state
title Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
title_full Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
title_fullStr Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
title_full_unstemmed Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
title_short Conditions for Existence of Second-Order and Third-Order Filters for Discrete Systems with Additive Noises
title_sort conditions for existence of second order and third order filters for discrete systems with additive noises
topic discrete time functional filter
optimal unbiased estimation
steady state
url https://www.mdpi.com/2227-7390/10/3/370
work_keys_str_mv AT mikhailkamenshchikov conditionsforexistenceofsecondorderandthirdorderfiltersfordiscretesystemswithadditivenoises