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Proceedings Paper

Methods of stochastic diagnostic type observers
Author(s): Andrii Y. Volovik; Lyudmila V. Krylik; Iryna M. Kobylyanska; Andrzej Kotyra; Saltanat Amirgaliyeva
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Paper 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.

Paper Details

Date Published: 1 October 2018
PDF: 7 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108082X (1 October 2018); doi: 10.1117/12.2501693
Show Author Affiliations
Andrii Y. Volovik, Vinnytsia National Technical Univ. (Ukraine)
Lyudmila V. Krylik, Vinnytsia National Technical Univ. (Ukraine)
Iryna M. Kobylyanska, Vinnytsia National Technical Univ. (Ukraine)
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Saltanat Amirgaliyeva, Suleiman Demirel Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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