Simultaneous Multi-Parametric Model Predictive Control and State Estimation with Application to Distillation Column and Intravenous Anaesthesia Academic Article

abstract

• The objective of this paper is to implement simultaneous multi-parametric model predictive control (mp-MPC) and moving horizon estimation (MHE). The approach is tested on two different processes: the control of a high dimensional chemical process, the distillation column and the regulation of the depth of anaesthesia (DOA). Due to the high dimensionality of the distillation column, model order reduction techniques were used together with the simultaneous mp-MPC and MHE. The methods show good performances and a good behavior in dealing with the effect of noise and the presence of constraints. 2014 Elsevier B.V.

authors

• Pistikopoulos, Stratos

published proceedings

• 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B

author list (cited authors)

• Nascu, I., Lambert, R., Krieger, A., & Pistikopoulos, E. N.

citation count

• 13

complete list of authors

• Nascu, Ioana||Lambert, Romain SC||Krieger, Alexandra||Pistikopoulos, Efstratios N

publication date

• January 2014

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

keywords

• Model Order Reduction
• Model Predictive Control
• Moving Horizon Estimation
• Multi-parametric/explicit Control

Digital Object Identifier (DOI)

• 10.1016/b978-0-444-63456-6.50091-0

start page

• 541

end page

• 546

volume

• 33

issue

• AnesthAnalg11232011

URL

• http://dx.doi.org/10.1016/b978-0-444-63456-6.50091-0