On one method of parametric plant identification

The paper is concerned with an approach to the problem of identifying the parameters of complex nonlinear dynamic plants in a statement, most topical for most applied problems viz where the determinant requirement is that the problem be solved in real or speeded up time and with normal functioning of the plant. The proposed direct iterative method for parametric identification is analyzed which insures solution by increasing the identification speed. This is achieved by combining the advantages of explicit (direct), and implicit (iterative) identification methods. The necessary parameter estimation accuracy is assured and the requirements to identification hardware are reduced.