Paper
1 October 2018 Methods of stochastic diagnostic type observers
Andrii Y. Volovik, Lyudmila V. Krylik, Iryna M. Kobylyanska, Andrzej Kotyra, Saltanat Amirgaliyeva
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108082X (2018) https://doi.org/10.1117/12.2501693
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
Abstract
The paper considers the fundamentals of the design theory of stochastic diagnostic type observers that are invariant to unknown inputs. It presents a description of identification and malfunctions localization problem when the noise is present. The article provides theoretical substantiation of the decomposition procedure of optimal stochastic observers with indefinite inputs and noise. Optimality criterions of such observer are defined. The paper reveals invariance of a differential signal in relation to indefinite, uncontrollable perturbations. Optionally, in a case, when a differential signal has a Gaussian distribution, the procedure of decision making about fault availability is offered.
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Andrii Y. Volovik, Lyudmila V. Krylik, Iryna M. Kobylyanska, Andrzej Kotyra, and Saltanat Amirgaliyeva "Methods of stochastic diagnostic type observers", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108082X (1 October 2018); https://doi.org/10.1117/12.2501693
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Cited by 2 scholarly publications.
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KEYWORDS
Stochastic processes

Filtering (signal processing)

Matrices

Diagnostics

Dynamical systems

Signal detection

Error analysis

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