Instrumental Variable Identification of Hybrid Fractional Box-Jenkins Models

Abstract this paper deals with continuous-time system identification using fractional differentiation models in a colored noisy output context. An optimal instrumental variable method for identifying fractional models in a hybrid Box-Jenkins form is described. The relationship between the measured input and the output is a fractional continuous-time transfer function, and the noise is a discrete-time AR or ARMA process.