DocumentCode :
3539047
Title :
Regulation of discrete time linear systems with uncertain exosystems from noisy measurements
Author :
Marino, Riccardo ; Santosuosso, Giovanni L.
Author_Institution :
Dept. of Electr. Eng., Univ. di Roma Tor Vergata, Rome, Italy
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
7534
Lastpage :
7539
Abstract :
The class of discrete time, linear, reachable and observable systems with known parameters is considered: the regulation problem is addressed when the output channel is corrupted by additive unmodelled bounded noise not restricted to high frequencies and the input channel is affected by disturbances generated by a linear exosystem with unknown eigenvalues on the unit circle. A constructive robust algorithm is proposed to drive the system output exponentially into a set whose magnitude depends on the unmodelled noise magnitude. The control strategy includes an on-line estimator of the excited exosystem unknown parameters, whose observation error is shown to be rendered arbitrarily small by choosing a design parameter arbitrarily small; the output regulation error can also be rendered arbitrarily small, under standard regularity hypotheses, if the system to be regulated is asymptotically stable. The algorithm is tested on a numerical example to illustrate its effectiveness.
Keywords :
asymptotic stability; control system synthesis; discrete time systems; linear systems; observability; parameter estimation; reachability analysis; robust control; additive unmodelled bounded noise magnitude; asymptotic stability; constructive robust algorithm; design parameter; discrete time linear system regulation problem; input channel; linear exosystem; noisy measurements; observation error; online excited exosystem unknown parameter estimator; output channel; output regulation error; system output; uncertain exosystems; unknown eigenvalue; Harmonic analysis; Linear systems; Noise; Noise measurement; Transfer functions; Tuning; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6761086
Filename :
6761086
Link To Document :
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