On the Structural and Parametric Identification under the Limited Uncertainty and Approximating Models of Multidimensional Systems

2011 ◽  
Vol 43 (6) ◽  
pp. 1-15
Author(s):  
Alexey V. Gummel ◽  
Vyacheslav F. Gubarev ◽  
Artem A. Kryshtal ◽  
Vladislav Yu. Oles
Keyword(s):  
Parametric Identification ◽  
Multidimensional Systems ◽  
Structural And Parametric Identification

scholarly journals Structural and Parametric Identification of Knowm Memristors

Nanomaterials ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 63
Author(s):  
Valerii Ostrovskii ◽  
Petr Fedoseev ◽  
Yulia Bobrova ◽  
Denis Butusov
Keyword(s):  
Parametric Identification ◽  
Visual Presentation ◽  
Experimental Setup ◽  
State Variables ◽  
Identification Method ◽  
Proposed Model ◽  
Wide Range ◽  
Identification Technique ◽  
Structural And Parametric Identification ◽  
Frequency Properties

This paper proposes a novel identification method for memristive devices using Knowm memristors as an example. The suggested identification method is presented as a generalized process for a wide range of memristive elements. An experimental setup was created to obtain a set of intrinsic I–V curves for Knowm memristors. Using the acquired measurements data and proposed identification technique, we developed a new mathematical model that considers low-current effects and cycle-to-cycle variability. The process of parametric identification for the proposed model is described. The obtained memristor model represents the switching threshold as a function of the state variables vector, making it possible to account for snapforward or snapback effects, frequency properties, and switching variability. Several tools for the visual presentation of the identification results are considered, and some limitations of the proposed model are discussed.

scholarly journals ANALYSIS OF INPUT INFLUENCING FACTORS AND SELECTION OF THE TYPE OF A MATHEMATICAL MODEL AT THE STAGES OF THEIR STRUCTURAL AND PARAMETRIC IDENTIFICATION FOR STUDYING DEFORMATION STATE OF THE SAYANO-SHUSHENSKAYA HPP DAM IN 2013-2016

2020 ◽  
Vol 25 (3) ◽  
pp. 53-62
Author(s):  
Natalia N. Kobeleva ◽  
◽  
Valery S. Khoroshilov ◽  
Keyword(s):  
Mathematical Models ◽  
Influencing Factors ◽  
Hydroelectric Power Plant ◽  
Parametric Identification ◽  
Field Observations ◽  
Hydroelectric Power ◽  
Cold Temperatures ◽  
Deformation State ◽  
Forecast Models ◽  
Structural And Parametric Identification

Assessment of the operational state of a hydraulic structure and its technical safety should be carried out by comparing the obtained quantitative and qualitative diagnostic indicators with their criteria values. For this purpose, predictive mathematical models of the structure's behavior should be developed, which are recommended to be calibrated according to field observations. The article considers features of constructing predictive mathematical models for studying deformation process of displacements of the dam crest of the Sayano-Shushenskaya hydroelectric power plant. For various combinations of input influencing factors, including the results of field observations and calculated values of component displacements, the most successfully designed predictive mathematical models were studied, on the basis of which the dam body points were forecasted for stages of its operation in different times. The advantages of using the created forecast models for various temperature conditions of the structure (medium, warm and cold temperatures of year) are presented.

scholarly journals IDENTIFICATION OF MONOD-IYERUSALIMSKII SYSTEM WITH LOOPBACK CONTROL

2014 ◽  
pp. 146-152
Author(s):  
Roman M. Pasichnyk ◽  
Yuriy R. Pigovsky
Keyword(s):  
Parametric Identification ◽  
Structural And Parametric Identification

Methods for structural and parametric identification of Monod-Iyerusalimskii system with loopback control are researched.

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