This article is cited in 3 papers

Intellectual Control Systems, Data Analysis

Some aspects of identification of dynamic objects under incorrect observation conditions

Yu. G. Bulychev

SJC “Gradient Research Institute,” Rostov-on-Don, Russia

Abstract: We solve the problems of numerical-analytical representation of the solution of an equation describing the dynamic object and its measurable output, as well as optimal computation of the values of continuous linear functionals (numerical characteristics) of measurable functions based on incorrect data containing not only fluctuation error but also singular interference. The method provides the maximum possible decomposition of computational procedures, does not require to carry out traditional linearization operations and the choice of initial approximations, and also is not related to the computation of spectral coefficients in finite linear combinations (with given basic functions) that describe integral curves, measurable functions, and singular interference.

Keywords: identification, dynamic object, measurable output, continuous linear functional, numerical characteristic, singular interference, incorrect observations, auto-compensation estimation.

Presented by the member of Editorial Board: M. M. Khrustalev

Received: 18.09.2019
Revised: 14.11.2019
Accepted: 28.11.2019

DOI: 10.31857/S0005231020060086

 English version: Automation and Remote Control, 2020, 81:6, 1073–1090

Bibliographic databases:

• 
• 
•