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Modification of the Dynamic Regularization Method for Linear Parabolic Equations

Modification of the Dynamic Regularization Method for Linear Parabolic Equations We consider the problem of reconstructing distributed inputs (disturbances) in linearparabolic equations. An algorithm for solving this problem is given. An upper bound for theconvergence rate is established for the case in which the input is a function of bounded variation.The algorithm combines the optimal preset and positional control methods and permitsreconstruction based on inaccurate measurements of solutions of the equations at discrete timeinstants. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Differential Equations Springer Journals

Modification of the Dynamic Regularization Method for Linear Parabolic Equations

Differential Equations , Volume 56 (11) – Dec 9, 2020

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References (14)

Publisher
Springer Journals
Copyright
Copyright © Pleiades Publishing, Ltd. 2020
ISSN
0012-2661
eISSN
1608-3083
DOI
10.1134/S00122661200110063
Publisher site
See Article on Publisher Site

Abstract

We consider the problem of reconstructing distributed inputs (disturbances) in linearparabolic equations. An algorithm for solving this problem is given. An upper bound for theconvergence rate is established for the case in which the input is a function of bounded variation.The algorithm combines the optimal preset and positional control methods and permitsreconstruction based on inaccurate measurements of solutions of the equations at discrete timeinstants.

Journal

Differential EquationsSpringer Journals

Published: Dec 9, 2020

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