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Application of graphic processing unit in model predictive control

Sadrieh, A. and Bahri, P.A. (2011) Application of graphic processing unit in model predictive control. Computer Aided Chemical Engineering, 29 . pp. 492-496.

Link to Published Version: http://www.sciencedirect.com/science/article/pii/B...
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Abstract

This study seeks to pave the way for the implementation of a model predictive controller method using a Graphic Processing Unit (GPU). The GPU has been adapted and used as a real time co processor for Nonlinear Model Predictive Control (NMPC) algorithms, providing a means to improve the computational performance of the MPC algorithm in an economic manner. In this approach, a parallel version of Nelder-Mead simplex algorithm was used to solve MPC optimization problem. In order to show the effectiveness of the proposed approach, the implementation was applied in model predictive control of a crystallizer unit operation. The results show a considerable improvement in computational performance compared to standard CPU based implementation.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering and Energy
Publisher: Elsevier BV
Copyright: © 2011 Elsevier B.V.
Notes: 21st European Symposium on Computer Aided Process Engineering
URI: http://researchrepository.murdoch.edu.au/id/eprint/4619
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