CUED Publications database

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

Patil, BV and Maciejowski, J and Ling, KV (2017) Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR. In: UNSPECIFIED pp. 471-476..

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:11
Last Modified: 24 Aug 2017 01:30
DOI: