| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10677705 | Applied Mathematical Modelling | 2015 | 12 Pages |
Abstract
This paper aims at developing a Recursive Parametric Estimation (RPE) algorithm for Multi-Input Single-Output (MISO) and Multi-Input Multi-Output (MIMO) nonlinear systems, described by Hammerstein mathematical models. The problem formulation is achieved based on the adjustable model method and the least squares technique. The convergence analysis of the RPE algorithm is made using the Lyapunov method and his performance is illustrated using data from an experimental acid-base neutralization process.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Houda Salhi, Samira Kamoun,