Industrial Automatic Control Systems and Controllers Annotation << Back Statistical Identification. State Model and Measurements Kuznetsov V.I. The article examines the complex analysis of the measurement information in the problems of state estimation and parameter identification of nonlinear dynamical systems. The theoretical aspects of the formalization of models of states of linear and nonlinear time-dependent stochastic dynamical systems and models measuring their output parameters, the possibility of transition to linear maps nonlinear measurement models. The extension of a state mode, which provides a transition to a linear mapping of nonlinear measurement models, which aims at realizing a simple filtering methods in comparison with similar methods in nonlinear (indirect) measurements. Keywords: adequacy; identification; measurement; model; parameters; system; state. Contacts: E-mail: vi_kuznetsov@bk.ru Pp. 45-51.