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Frameworks in Problems of Structural Identification Systems
2017
International Journal of Intelligent Systems and Applications
The new approach to structural identification of nonlinear dynamic systems under uncertainty is proposed. It is based on the analysis of virtual frameworks (VF), reflecting a state of a nonlinear part system. Construction VF is based on obtaining special an informational set describing a steady state of a nonlinear dynamic system. Introduction VF demands an estimation of stru ctural identifiab ility of a system. Th is concept is associated with nonlinearity o f system and properties VF. The
doi:10.5815/ijisa.2017.01.01
fatcat:kvjciifbpjh4vcjpso3cbvwwrq