Input design: from open-loop to control-oriented design

In this paper we briefly review the evolution of the main tools and results for optimal experiment design for system identification. The initial work dates back to the seventies and focused on the accuracy of the parameters of the input-output transfer function estimate. In the eighties, new formulas for the variance of transfer function estimates based on high-order model approximations led to the first goal-oriented experiment design results. The recent trend is to address control-oriented optimal design questions using the more accurate parameter covariance formulas for finite order models.Anglai