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Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR
Authors
KV Ling
J Maciejowski
BV Patil
Publication date
1 January 2016
Publisher
2016 European Control Conference, ECC 2016
Doi
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Abstract
© 2016 EUCA. We present a model predictive control based tracking problem for nonlinear systems based on global optimization. Specifically, we introduce a 'Bernstein global optimization' procedure and demonstrate its applicability to the aforementioned control problem. This Bernstein global optimization procedure is applied to predictive control of a nonlinear CSTR system. Its strength and benefits are compared with those of a sub-optimal procedure, as implemented in MATLAB using fmincon function, and two well established global optimization procedures, BARON and BMIBNB.National Research Foundation, Singapore
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oai:www.repository.cam.ac.uk:1...
Last time updated on 12/01/2019
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info:doi/10.1109%2Fecc.2016.78...
Last time updated on 04/08/2021