Robust explicit/multi-parametric model predictive control for box-constrained linear dynamic systems

Christos Panos, Konstantinos Kouramas, Efstratios N. Pistikopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Robust explicit/multi-parametric controllers are designed for constrained, linear discrete-time systems with box-constrained states and inputs, involving uncertainty in the left-hand side (LHS) of the Model Predictive Control (MPC) optimization model. Based on previous results, this work presents a new algorithm that features: (i) a dynamic programming reformulation of the MPC optimization, (ii) a robust reformulation of the constraints that accounts for uncertainty and (iii) a multi-parametric programming solution step where the controls are obtained as an explicit function of the states. © 2009 IFAC.
Original languageEnglish (US)
Title of host publication9th International Symposium on Dynamics and Control of Process Systems, DYCOPS 2010
Number of pages6
StatePublished - Dec 1 2010
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-07-01
Acknowledgements: The financial support of EPSRC (GR/T02560/01, EP/E047017/1), European Commission (PRISM ToK project, Contact No: MTKI-CT-2004-512233 and DIAMANTEToK project, Contract No: MTKI-CT-2005-IAP-029544),European Research Council (MOBILE, ERC AdvancedGrant No: 226462) and KAUST is greatfully acknowl-edged.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


Dive into the research topics of 'Robust explicit/multi-parametric model predictive control for box-constrained linear dynamic systems'. Together they form a unique fingerprint.

Cite this