Dynamic Model for Predicting Instability of Multiphase Processes: Direct and Inverse Problems

A method is set forth for modeling multiphase processes aimed at characterizing and predicting their instabilities. The technique employs autonomous polynomial dynamical systems (DSs) derived using approximation of the measurement data in terms of specifically formulated inverse problems. Complete description of singularities is performed using the developed discriminant criterion. Examples of realization are discussed.

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Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701780
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic Model for Predicting Instability of Multiphase Processes: Direct and Inverse Problems

А. Kh. Shakhverdiev, Yury Shestopalov
Industrial Engineering and Technologies
article

Dynamic Model for Predicting Instability of Multiphase Processes: Direct and Inverse Problems

А. Kh. Shakhverdiev, Yury Shestopalov
article en

Abstract

A method is set forth for modeling multiphase processes aimed at characterizing and predicting their instabilities. The technique employs autonomous polynomial dynamical systems (DSs) derived using approximation of the measurement data in terms of specifically formulated inverse problems. Complete description of singularities is performed using the developed discriminant criterion. Examples of realization are discussed.

Russian State Geological Prospecting University (RU), MIREA - Russian Technological University (RU)
Russian Science Foundation
Climate action
Openalex Percentile: Top 83%
Industrial Engineering and Technologies
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