DocumentCode :
646178
Title :
Model predictive control for tracking random references
Author :
Falugi, Paola ; Mayne, D.Q.
Author_Institution :
EEE Dept., Imperial Coll. London, London, UK
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
518
Lastpage :
523
Abstract :
This paper proposes a simple model predictive control scheme for linear systems, tracking a random reference and analysis its performance. In such situations it is usual to assume that the reference eventually converges to a constant in which case convergence to zero of the tracking error can be established. In this note we characterize the set to which the tracking error converges and the associated region of convergence when the reference does not converge to a constant.
Keywords :
convergence; linear systems; predictive control; random processes; linear systems; model predictive control scheme; performance analysis; random reference tracking; tracking error convergence; tracking random references; Linear systems; Optimization; Predictive control; Solids; Target tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669584
Link To Document :
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