Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Intelligent Selective Navigation Complex With a Criterion for Assessing the Quality of Information CHZHAN LIFEJ, M.S. SELEZNEVA, A.V. PROLETARSKIJ, K.A. NEUSYPIN The estimation problem is investigated in a nonlinear formulation of the problem with model uncertainty. One of the problems of its implementation is the inaccuracy of the models of the evaluated process adopted in the filter. It is proposed to eliminate this problem by using a multi-model algorithm for estimating the errors of the navigation complex and an algorithm for selecting models. For the selection of models, a criterion for assessing the quality of information was used - the maximum likelihood method. The effectiveness of the developed modification of the nonlinear adaptive navigation complex is demonstrated by the example of estimating the errors of the inertial navigation system of an aircraft. Keywords: nonlinear Kalman filter, adaptive Kalman filter, multi-model estimation algorithm, navigation complex, information estimation criterion, maximum likelihood method, inertial navigation system, estimation accuracy. DOI: 10.25791/pribor.6.2021.1268 Pp. 37-47.