This paper formulates an input design approach for truncated infinite impulse response
identification in the context of implicit model representations recently used as basis for data-
driven simulation and control approaches. Precisely, the considered model consists of a
linear combination of the columns of a data (or signal) matrix. An optimal combination for the
case of noisy data was recently proposed using a maximum likelihood approach, and the
objective here is to optimize the input entries of the data matrix such that the mean-square …