An approach to constructing linearized input/output mappings of multi-input/multi-output stochastic systems is presented. The approach is based on involving an information-theoretic measure of dependence of random vec...
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An approach to constructing linearized input/output mappings of multi-input/multi-output stochastic systems is presented. The approach is based on involving an information-theoretic measure of dependence of random vectors as a criterion of selection of input variables of the model. An application of the mathematical technique developed to a task of advanced automated process control system functions regarding nuclear power plants efficiency monitoring is considered. Copyright (C) 2020 The Authors.
An approach to constructing linearized input/output mappings of multi-input/multi-output stochastic systems is presented. The approach is based on involving an information-theoretic measure of dependence of random vec...
详细信息
An approach to constructing linearized input/output mappings of multi-input/multi-output stochastic systems is presented. The approach is based on involving an information-theoretic measure of dependence of random vectors as a criterion of selection of input variables of the model. An application of the mathematical technique developed to a task of advanced automated process control system functions regarding nuclear power plants efficiency monitoring is considered.
The paper deals with the problem of input/output system identification in the light of selecting representative outputs of the system under study, accompanied with its application to the analysis of the nuclear power ...
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ISBN:
(纸本)9781728157429
The paper deals with the problem of input/output system identification in the light of selecting representative outputs of the system under study, accompanied with its application to the analysis of the nuclear power plant efficiency. Features of the approach are based on an extension of the Renyi axioms for measures of dependence to the case of the multivariate dependence and applying an information-theoretic measure of dependence originated from a symmetric Tsallis divergence of probabilistic distributions.
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