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Assessement and Future Directions of Nonlinear Model Predictive Control, L. Magni, D. Raimondo and F. Allgöwer (Ed.) (2008) --
A Framework for Monitoring Control updating Period in Real-Time Nonlinear Model Predictive Control
Mazen Alamir 1
(2008)

In this contribution, a general scheme is proposed that enables the control updating period used in Nonlinear Model Predictive Control (NMPC) scheme to be dynamically optimized. Such a scheme can be of great interest when applying NMPC to systems with fast dynamics. The updating scheme is based on the on-line identification of generic models for both solver efficiency and disturbance effect on the optimal cost behavior. The efficiency of the proposed approach is illustrated on several examples.
1 :  Grenoble Images Parole Signal Automatique (GIPSA-lab)
CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
Mathématiques/Optimisation et contrôle

Sciences de l'ingénieur/Automatique / Robotique