ALGORITHMS FOR IDENTIFICATION OF LINEAR DYNAMIC CONTROL OBJECTS BASED ON THE PSEUDO-CONCEPT CONCEPT

1Zaripov O.O., Shukurova O.P., Sevinov J.U.

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Abstract:

Regularized algorithms for identifying linear dynamic control objects based on the concept of pseudoinversion are given. The equation of the control object is focused on solving a number of applied problems and is selected in the form of a multidimensional dynamic regression equation. To solve the equation in question, we use differentiation formulas for quadratic functionals with respect to matrix variables and regularized algorithms based on non-orthogonal factorizations and pseudoinversions of square matrices. The obtained regular algorithms contribute to increasing the accuracy of estimating the parameters of the class of dynamic control objects under consideration.

Keywords:

linear dynamic control objects, identification algorithms, regular estimation, matrix pseudoinverse

Paper Details
Month2
Year2020
Volume24
IssueIssue 4
Pages1981-1995