Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR
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Peer-reviewed
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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.
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Keywords
4007 Control Engineering, Mechatronics and Robotics, 40 Engineering, 4010 Engineering Practice and Education
Journal Title
2016 European Control Conference, ECC 2016
Conference Name
2016 European Control Conference (ECC)
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IEEE
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Sponsorship
National Research Foundation, Singapore.