Continuous-time errors-in-variables system identification through covariance matching without input signal modeling

The continuous-time errors-in-variables system identification problem is studied. The proposed solution is to use a covariance matching approach in which the input signal is not modeled, allowing for general types of input signals. As a consequence, no input signal parameters have to be estimated.