On the Identification of Control Failures by the Dynamic Regularization Method

The problem of calculating points and magnitudes of discontinuities in the controls acting on a system described by a nonlinear vector ordinary differential equation is considered. A similar problem is well known in systems theory and belongs to the class of failure identification problems. This paper specifies a regularizing algorithm that solves the problem synchronously with the process of functioning of the control system. The algorithm is based on a feedback control method called the dynamic regularization method in the literature; this method was previously actively used in problems of online reconstruction of nonsmooth unknown disturbances. The algorithm described in this work is stable to information noises and computational errors.

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Publication Details

Journal
Proceedings of the Steklov Institute of Mathematics
Published
2024-08-01
DOI
https://doi.org/10.1134/s0081543824030106
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

On the Identification of Control Failures by the Dynamic Regularization Method

В. И. Максимов, Yu. S. Osipov
Proceedings of the Steklov Institute of Mathematics
Fault Detection and Control Systems
article

On the Identification of Control Failures by the Dynamic Regularization Method

В. И. Максимов, Yu. S. Osipov
article en

Abstract

The problem of calculating points and magnitudes of discontinuities in the controls acting on a system described by a nonlinear vector ordinary differential equation is considered. A similar problem is well known in systems theory and belongs to the class of failure identification problems. This paper specifies a regularizing algorithm that solves the problem synchronously with the process of functioning of the control system. The algorithm is based on a feedback control method called the dynamic regularization method in the literature; this method was previously actively used in problems of online reconstruction of nonsmooth unknown disturbances. The algorithm described in this work is stable to information noises and computational errors.

Proceedings of the Steklov Institute of MathematicsVol. 325(S1)
Russian Academy of Sciences (RU), Lomonosov Moscow State University (RU), Steklov Mathematical Institute (RU), N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences (RU), Ural Branch of the Russian Academy of Sciences (RU)
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Fault Detection and Control Systems
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