TY - GEN
T1 - Algorithm for robust explicit/multi-parametric MPC in embedded control systems
AU - Kouramas, Konstantinos
AU - Panos, Christos
AU - Pistikopoulos, Efstratios N.
N1 - KAUST Repository Item: Exported on 2022-07-01
Acknowledgements: The financial support of EPSRC (Projects EP/047017/1, EP/G059071/1, EP/I014640/1), European Commission (PRISM ToK project, Contract No: MTKI-CT-2004-512233 and DIAMANTE ToK project, Contract No: MTKI-CT-2005-IAP-029544), European Research Council (MOBILE, ERC Advanced Grant No:226462) and KAUST is gratefully acknowledged.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2016/4/25
Y1 - 2016/4/25
N2 - In this paper we present a framework for robust explicit/multi-parametric model predictive control (MPC). Based on four key steps, the proposed framework offers a systematic method for the off-line design, validation/testing and implementation of robust explicit MPC controllers for embedded systems. An important feature of the framework, is the use of a robust explicit/multi- parametric MPC technique that can guarantee that the system constraints are not violated due to the system model uncertainties. The framework is illustrated for the design of a robust explicit/multi-parametric MPC controller for the hydrogen desorption in metal- hydride bed storages.
AB - In this paper we present a framework for robust explicit/multi-parametric model predictive control (MPC). Based on four key steps, the proposed framework offers a systematic method for the off-line design, validation/testing and implementation of robust explicit MPC controllers for embedded systems. An important feature of the framework, is the use of a robust explicit/multi- parametric MPC technique that can guarantee that the system constraints are not violated due to the system model uncertainties. The framework is illustrated for the design of a robust explicit/multi-parametric MPC controller for the hydrogen desorption in metal- hydride bed storages.
UR - http://hdl.handle.net/10754/679560
UR - https://linkinghub.elsevier.com/retrieve/pii/S1474667016437961
UR - http://www.scopus.com/inward/record.url?scp=84866757152&partnerID=8YFLogxK
U2 - 10.3182/20110828-6-IT-1002.02126
DO - 10.3182/20110828-6-IT-1002.02126
M3 - Conference contribution
SN - 9783902661937
SP - 1344
EP - 1349
BT - IFAC Proceedings Volumes
PB - Elsevier BV
ER -