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7th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2007, Petroria : Afrique Du Sud (2007)
On The Use of Nonlinear Receding-Horizon Observers in Batch Terpolymerization Processes
Mazen Alamir 1, Nida Sheibat-Othman 2, Sami Othman 2
(2007)

In this paper, a nonlinear receding-horizon observer is proposed for state reconstruction in batch terpolymerization reactors. The related investigations show that the state reconstruction problem may be quite ill conditioned in the sense that different states may exist that lead to roughly the same output. It seems however that when constrained receding-horizon estimation is used together with a dedicated crossing singularity heuristic, state reconstruction is possible even in presence of measurement noise and up-to 10\% error on the r.h.s of the ODE's describing the system's dynamics. The efficiency and the real-time implementability of the overall scheme is shown through illustrative scenarios including both simulation and experimental validation.
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
2:  Laboratoire d'automatique et de génie des procédés (LAGEP)
CNRS : UMR5007 – Université Claude Bernard - Lyon I – École Supérieure Chimie Physique Électronique de Lyon
Mathematics/Optimization and Control

Engineering Sciences/Automatic
Nonlinear Constrained State Estimation – Batch Terpolymerization Reactor – Crossing Singularity Oriented Heuristic – Experimental Results – Robust Estimation.
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