Identification of continuous-time state-space model from samples of input-output data

The identification of the parameters of a state-space model for a single-input single-output system from samples of the input-output data is considered. Use of the trapezoidal rule of integration, together with the least-squares algorithm, leads to the continuous-time model directly without assuming that the input is held constant between sampling instants.