Algorithms of regular synthesis of adaptive observer for linear stationary system

The problems of formation of algorithms for regular synthesis of an adaptive observer for a linear stationary system are considered. Regularized algorithms are provided that allow identification of the parameters and state vector of the controlled object. Retrospective and iterative computational algorithms for simplified regularization are used as a basic regular scheme. The above expressions allow us to realize a stable procedure for estimating unknown parameters and the state of a linear stationary system in the course of its normal functioning