A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models

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.