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

Patil, BV; Maciejowski, Jan; Ling, KV

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Authors

Patil, BV

Maciejowski, Jan

Ling, KV

Publication Date

2017-01-06

Journal Title

2016 European Control Conference, ECC 2016

ISBN

9781509025916

Pages

471-476

Type

Conference Object

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Citation

Patil, B., Maciejowski, J., & Ling, K. (2017). 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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