RTU Research Information System
Latviešu English

Publikācija: Analysis of Causes of Inefficiency of Stochastic Models of Dynamic System Identification

Publication Type Publications in RTU scientific journal
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Analysis of Causes of Inefficiency of Stochastic Models of Dynamic System Identification
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Authors Genādijs Burovs
Keywords identification, identification model, stochastic model, mapping operator, numerical stability, singularity
Abstract The carried out analysis of stochastic identification models has allowed to find a rigorous mathematical proof of their inefficiency. Identification of object parameters and characteristics of noise using a uniform model is impossible. It leads to erroneous results which have abstract character and cannot be decoded by using any mathematical operations. These facts have been held back many years and practical identification was in impasse. Partly it is because finding analytical solution of system of difference equations is not possible using traditional computing methods. The obtained results show that procedures of identification should be complete and should include algorithms for decoding the coefficients of difference equations.
Reference Burovs, G. Analysis of Causes of Inefficiency of Stochastic Models of Dynamic System Identification. Boundary Field Problems and Computer Simulation. Vol.50, 2011, pp.49-55. ISSN 1407-7493.
Full-text Full-text
ID 12657