Finite-time experiment design with multisines
نویسنده
چکیده
When the number of data used for an identification experiment is small, the data contain transient effects and these effects contribute to the accuracy of the identified model. Consequently, when designing the optimal input signal for an identification experiment in the case of small data set, these transient effects have to be taken into account. In this paper, we present a methodology for optimal experiment design which, unlike other approaches such as the asymptotic approach, takes explicitly the transient effects into account. This paper is restricted to model structures that are linear in the parameter and to multisine input signals.
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