Title :
Consistent methods of identification of non-linear systems: An analysis and solution approach
Author_Institution :
V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia
fDate :
6/1/2015 12:00:00 AM
Abstract :
The paper investigates in details some approaches to the stochastic non-linear system identification within a concept utilizing the notion of the consistency of measures of dependence of random values (in the sense of A.N. Kolmogorov). As a result of such an analysis, a consistent identification technique based on the Kimeldorf-Sampson´ monotone dependence notion is proposed.
Keywords :
"Yttrium","Stochastic processes","Mathematical model","Correlation","Least squares methods","Biological system modeling","Probability distribution"
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on
DOI :
10.1109/ICIEA.2015.7334151