Design of input sequence for linear dynamic system identification

The design of stochastic input sequences for parameter identification of linear dynamic discrete-time system is considered. The determinant of the normalized error covariance matrix is used as a criterion for parameter identification quality which is, as it is shown, dependent on the input autocorrelation function. For a given form of this function, one may derive the optimal values of its parameters. An analytic example illustrating the method is given.