On adaptive identification of plants in closed-loop systems

Adaptive systems of nonsearching stabilization with the use of an adjustible model are considered. Reasons for unstable system functioning and identifiability conditions are investigated as a function of the plant and model structure, the identification methods and statistical properties of input data. Results of computer tests of the algorithms are given.