An algorithm for robust explicit/multi-parametric model predictive control

A new algorithm for robust explicit/multi-parametric Model Predictive Control (MPC) for uncertain, linear discrete-time systems is proposed. Based on previous work on Dynamic Programming (DP), multi-parametric Programming and Robust Optimization, the proposed algorithm features, (i) a DP reformulati...

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Veröffentlicht in:Automatica (Oxford) Jg. 49; H. 2; S. 381 - 389
Hauptverfasser: Kouramas, K.I., Panos, C., Faísca, N.P., Pistikopoulos, E.N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.02.2013
Elsevier
Schlagworte:
Adaptative systems
Algorithms
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Dynamical systems
Exact sciences and technology
Explicit/multi-parametric MPC
Mathematical models
Model predictive control
Modelling and identification
Multi-parametric programming
Optimal control
Optimization
Predictive control
Programming
Robust control
State variable
Uncertainty
Robust control
Explicit/multi-parametric MPC
Model predictive control
Multi-parametric programming
Multimodel control
Parametric programming
Convex programming
Optimization
Uncertain system
Discrete time
System identification
Dynamic programming
State constraint
ISSN:0005-1098, 1873-2836
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Beschreibung
Zusammenfassung:A new algorithm for robust explicit/multi-parametric Model Predictive Control (MPC) for uncertain, linear discrete-time systems is proposed. Based on previous work on Dynamic Programming (DP), multi-parametric Programming and Robust Optimization, the proposed algorithm features, (i) a DP reformulations of the MPC optimization problem, (ii) a robust reformulation of the constraints, and (iii) a multi-parametric programming step, where the control variables are obtained as explicit functions of the state variable, such that the state and input constraints are satisfied for all admissible values of the uncertainty. A key feature of the proposed procedure is that, as opposed to previous methods, it only solves a convex multi-parametric programming problem for each stage of the DP procedure.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2012.11.035