Identification of a linear parameter varying system based on Meixner-like model
Résumé
In this article, the Meixner-like model is used to represent the linear discrete-time system in comparison with the Laguerre model. Furthermore, we
propose from input/output measurements a new recursive representation of the Meixner-like model. However, a significant approximation of this
model is subject to an optimal choice of Meixner-like parameters: pole, order of generalization and Fourier coefficients. The present research yields a
series of computational experiments, through a simulation example of a linear parameter varying (LPV) system. This study tests this approach, verifies
the theoretical results and points out the positive outcomes of using the Meixner-like model in comparison with the Laguerre model.