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 (2016) Nonlinear model predictive control based on Bernstein global optimization with application to a nonlinear CSTR. In: European Control Conference, ECC 2016, 2016-6-29 to 2016-7-1 pp. 471-476..

Full text not available from this repository.

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: 19 Nov 2019 01:36
DOI: 10.1109/ECC.2016.7810329