Identification of linear dynamic systems

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 second and fourth-order systems further affirms the practicality of the method.