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The sensitivity coefficients for dynamic systems described by nonlinear difference generalized equations with the distributed memory and characterized by generalized functionals

Authors: Rouban, Anatoly I.;

The sensitivity coefficients for dynamic systems described by nonlinear difference generalized equations with the distributed memory and characterized by generalized functionals

Abstract

The variational method of calculation of sensitivity coefficients connecting first variation of quality functional with variations of variable and constant parameters for multivariate non-linear dynamic systems described by generalized difference equations with the distributed memory on phase coordinates and variable parameters is developed. The nonlinear quality functional also has a generalized form. Sensitivity coefficients are components of sensitivity functional and they are before variations of variable and constant parameters. The base of sensitivity coefficients calculation are the decision of generalized equations of the object model in the forward direction of discrete time and corresponding difference conjugate equations for Lagrange’s multipliers in the opposite direction of discrete time.

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коэффициент чувствительности, Лагранжа множители, распределенная память, вариационный метод, разностные уравнения, функционал качества работы системы, сопряженные уравнения

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green