Experiment design in system identification using fractional models

This paper tackles the problem of experiment design in system identification using elementary fractional models. It is based on a frequency domain approach and answers the question: what is the best sinusoidal input signal maximizing the D-optimality criterion of the Fisher information matrix in different contexts? First, a single parameter is assumed to be unknown (any of the parameters of the elementary transfer functions). Then multiple parameters and their combinations are supposed to be unknown.