Математическое моделирование процесса параметрической идентификации моделей конвективно-диффузионного переноса с применением SVD-фильт

DOI10.14498/vsgtu1876zbMath1499.93075OpenAlexW4210930907MaRDI QIDQ5066530

Anastasiya Nikolaevna Kuvshinova, Andreĭ Vladimirovich Tsyganov, Yuliya Vladimirovna Tsyganova

Publication date: 29 March 2022

Published in: Вестник Самарского государственного технического университета. Серия «Физико-математические науки» (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/vsgtu1876

zbMATH Keywords

parameter identificationKalman filterconvection-diffusion transport modelSVD filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Probabilistic models, generic numerical methods in probability and statistics (65C20) Control/observation systems governed by partial differential equations (93C20) Identification in stochastic control theory (93E12)

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Square root filtering via covariance and information eigenfactors
• Maximum likelihood and prediction error methods
• Stochastic models, estimation, and control. Vol. 1
• Maximum likelihood state and parameter estimation via derivatives ofthe V-Lambda filter
• SVD-Based Kalman Filter Derivative Computation
• Kalman Filtering
• On Modern Array Algorithms for Optimal Discrete Filtering
• Numerical Methods in Matrix Computations
• Dynamic identification of boundary conditions for convection-diffusion transport model in the case of noisy measurements

This page was built for publication: Математическое моделирование процесса параметрической идентификации моделей конвективно-диффузионного переноса с применением SVD-фильт