A derivative-free constrained predictive controller

Authors:
Brahim Tlili;Faouzi Bouani;Mekki Ksouri
Affiliations:
Laboratoire d'Analyse et de Commande des Systèmes, Ecole Nationale d'Ingénieurs de Tunis, Tunisie;Laboratoire d'Analyse et de Commande des Systèmes, Institut National des Sciences Appliquées et de Technologie de Tunis, Tunis, Tunisie;Laboratoire d'Analyse et de Commande des Systèmes, Ministère de la Recherche Scientifique et de la Technologie, et de développement des Compétences, Tunis, Tunisie
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

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Abstract

This paper deals with a derivative-free constrained predictive control of nonlinear systems. The Nonlinear AutoRegressive Moving Average (NARMA) model is used to characterize the behavior of the plant. Consequently, the optimization problem is no longer convex. The paper presents the optimization of the problem by using an improved version of the Nelder-Mead algorithm which does not require the calculation of the derivative of the criterion and which can converge towards the global minimum. Simulation results are presented to illustrate the effectiveness of the proposed method.