Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR

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Authors
Patil, BV
Maciejowski, J
Ling, KV
Publication Date
2016
Journal Title
2016 European Control Conference, ECC 2016
Conference Name
2016 European Control Conference (ECC)
ISBN
9781509025916
Publisher
IEEE
Pages
471-476
Type
Conference Object
This Version
AM
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Citation
Patil, B., Maciejowski, J., & Ling, K. (2016). Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR. 2016 European Control Conference, ECC 2016, 471-476. https://doi.org/10.1109/ECC.2016.7810329
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.
Sponsorship
National Research Foundation, Singapore.
Identifiers
External DOI: https://doi.org/10.1109/ECC.2016.7810329
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287164
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Licence:
http://www.rioxx.net/licenses/all-rights-reserved
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