Comparative analysis of adaptive algorithms for estimating parameters of nonstationary objects

Most widespread algorithms are described that are used in estimating the parameters of nonstationary plants divided into two classes depending on existence of data on the law of parameter measurements. Numerical simulation is used for comparative analysis of these algorithms in terms of response, accuracy, tracking the parameter changes, number of computing operations and computer memory size. Advice on application of algorithms is given.