“…It is shown that the variational methods [7,9,10] completely use the information on the structure of a linear dynamic object in the form of linear constraints on the set of admissible trajectories and enable us to obtain consistent estimates of the parameters with a lower variance in short sections of the transient processes on account of more intensive calculations.…”
Section: Discussionmentioning
confidence: 99%
“…This dependence is preset as an implicit function by the system of equalities ∂J(z, χ)/∂χ = 0. The existence and the continuity of the implicit function χ(z) for orthoregressive methods follow directly from the results in [9].…”
Section: Comparison Of Methods In Linear Approximationmentioning
confidence: 98%
“…The estimates under investigation are set up as a result of the minimization of loss functions with constraints (for more details, see [3,5,7,9,10]):…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
confidence: 99%
“…The conditions of the strong consistency of the estimates θ l (5) were studied in [9,10,12]. Further, without the loss of generality of the presentation, we will set l = 1 and omit the requisite indices in the quantities.…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
confidence: 99%
“…Let us note that they formally differ by loss functions: the modified estimate (9) includes the matrix C OR with a simpler cellwise-diagonal structure instead of the matrix C with the cellwise-Toeplitz structure in the loss function (8) of the VI method.…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
Various versions are compared of the multidimensional method of orthogonal regression in the problem of estimating the parameters of linear systems by short sections of transient processes with additive measuring perturbations. The methods are classified by the degree of the use of information on linear links between counts of trajectories of a dynamic object.
“…It is shown that the variational methods [7,9,10] completely use the information on the structure of a linear dynamic object in the form of linear constraints on the set of admissible trajectories and enable us to obtain consistent estimates of the parameters with a lower variance in short sections of the transient processes on account of more intensive calculations.…”
Section: Discussionmentioning
confidence: 99%
“…This dependence is preset as an implicit function by the system of equalities ∂J(z, χ)/∂χ = 0. The existence and the continuity of the implicit function χ(z) for orthoregressive methods follow directly from the results in [9].…”
Section: Comparison Of Methods In Linear Approximationmentioning
confidence: 98%
“…The estimates under investigation are set up as a result of the minimization of loss functions with constraints (for more details, see [3,5,7,9,10]):…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
confidence: 99%
“…The conditions of the strong consistency of the estimates θ l (5) were studied in [9,10,12]. Further, without the loss of generality of the presentation, we will set l = 1 and omit the requisite indices in the quantities.…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
confidence: 99%
“…Let us note that they formally differ by loss functions: the modified estimate (9) includes the matrix C OR with a simpler cellwise-diagonal structure instead of the matrix C with the cellwise-Toeplitz structure in the loss function (8) of the VI method.…”
Section: Methods Of Orthogonal Regression and Variational Identificationmentioning
Various versions are compared of the multidimensional method of orthogonal regression in the problem of estimating the parameters of linear systems by short sections of transient processes with additive measuring perturbations. The methods are classified by the degree of the use of information on linear links between counts of trajectories of a dynamic object.
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