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

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Patil, BV 
Ling, KV 

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.

Description

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)

Journal ISSN

Volume Title

Publisher

IEEE
Sponsorship
National Research Foundation, Singapore.