Consistent Measures of Dependence in the Identification of Multi-input/Multi-output Systems and Applications. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Chernyshov, K.R.; Jharko, E.Ph.; Sakrutina, E.A.
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 10707
• Page End: 10713
• Publication Date: 2020
• Subjects: Automated process control system -- Information task -- Measures of dependence -- Multi-input/multi-output description -- Mutual information -- Symmetric Tsallis divergence -- System identification -- Nuclear power plant -- Technical -- economical indexes; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2849
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.