Abstract
The paper presents methods for studying the dynamics of nonlinear processes in relation to assessing the risks of stability loss on the basis of accumulated knowledge about the operation of power supply systems and methods for analyzing power supply modes. The methods are a complex of linear point discrete predictive identification models for a wide class of nonlinear objects, as well as spectral decompositions of Gramians for linear models.
Original language | English |
---|---|
Pages (from-to) | 478-483 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 54 |
Issue number | 1 |
Early online date | 9 Nov 2021 |
DOIs | |
Publication status | Published - 2021 |
Event | 17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021 - Budapest, Hungary Duration: 7 Jun 2021 → 9 Jun 2021 |
Bibliographical note
Funding Information:1 This work was supported by the Russian Science Foundation, project no. 19-19-00673 and by Russian Foundation for Basic Research, project no. 21-57-53005.
Publisher Copyright:
© 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)
Keywords
- Associative search models
- Gramian method
- Knowledge base
- Process identification
ASJC Scopus subject areas
- Control and Systems Engineering