Abstract
A real time computational method is presented for the identification of linear discrete dynamic systems with unknown parameters. It is shown that the method is globally convergent to the true parameters in a stochastic environment. Experimental simulation of 2nd and 4th order systems further affirms the practicality of the method.
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