Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming

This work presents a new algorithm for solving the explicit/multi-parametric model predictive control (or mp-MPC) problem for linear, time-invariant discrete-time systems, based on dynamic programming and multi-parametric programming techniques. The algorithm features two key steps: (i) a dynamic pr...

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Veröffentlicht in:	Automatica (Oxford) Jg. 47; H. 8; S. 1638 - 1645
Hauptverfasser:	Kouramas, K.I., Faísca, N.P., Panos, C., Pistikopoulos, E.N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2011 Elsevier
Schlagworte:	Algorithms Applied sciences Computer science; control theory; systems Control theory. Systems Dynamic programming Dynamical systems Dynamics Exact sciences and technology Explicit Model Predictive Control Mathematical models Model Predictive Control Multi-parametric control Multi-parametric programming Optimal control Optimization Predictive control Programming Explicit Model Predictive Control Multi-parametric control Multi-parametric programming Dynamic programming Model Predictive Control Multimodel control Parametric programming Global optimum Dynamical system Convex programming Current control Model predictive control Control constraint Linear time invariant system Discrete time Potential method State constraint
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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