Identification of a linear parameter varying system based on Meixner-like model

Safa Maraoui, Kais Bouzrara, José Ragot
  • Transactions of the Institute of Measurement and Control, August 2016, SAGE Publications
  • DOI: 10.1177/0142331216663825

Identification of Meixner-like model

What is it about?

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.

Read Publication

The following have contributed to this page: Professor Kais Bouzrara