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Analog methods for on-line system identification using noisy measurements

Purdue University Lafayette, Indiana

G.N. Saridis

Purdue University Lafayette, Indiana

Of current interest in the field of automatic control is the problem of system identification in the presence of measurement noise. Generally this problem has been dis cussed in the literature for the case of linear time-invar iant systems where the parameters to be identified are constant or slowly varying. This paper describes the ap plication of continuous stochastic approximation meth ods for the identification of a class of simple nonlinear systems. The two algorithms described are easily imple mented with analog equipment, although one of them requires some logic capability.

SIMULATION, Vol. 11, No. 5, 241-248 (1968)
DOI: 10.1177/003754976801100505


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