Journal
APPLIED MATHEMATICAL MODELLING
Volume 39, Issue 16, Pages 4951-4962Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2015.03.050
Keywords
Multivariable nonlinear systems; Hammerstein mathematical models; Convergence analysis; Recursive parametric estimation algorithm; Acid-base neutralization process
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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. (C) 2015 Elsevier Inc. All rights reserved.
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