Optimal input design for continuous-time system identification

In this paper, an optimal input design framework for continuous-time system identification is proposed. The problem is formulated in a convex finite dimensional form. For that purpose, input spectrum is decomposed onto a Laguerre basis and an LMI-problem is solved. The proposed solution is used to compute the optimal spectrum for a fractional system identification.