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Data-based modeling and control of nylon-6,6 batch...
Conference

Data-based modeling and control of nylon-6,6 batch polymerization

Abstract

This work addresses the problem of modeling the complex nonlinear behavior of a nylon-6,6 batch polymerization process and subsequently tracking trajectories of the important process variables, namely the reaction medium temperature and reactor pressure, using model predictive control (MPC). To this end, a data-based multi-model approach is proposed in which local linear models are identified from previous batch data using latent variable …

Authors

Aumi S; Corbett B; Mhaskar P

Pagination

pp. 2540-2545

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

June 1, 2011

DOI

10.1109/acc.2011.5990931

Name of conference

Proceedings of the 2011 American Control Conference

Conference proceedings

Proceedings of the 2010 American Control Conference

ISSN

0743-1619