DocumentCode :
183737
Title :
Robust signal-to-noise ratio constrained feedback control
Author :
Rojas, A.J.
Author_Institution :
Dept. de Ing. Electr., Univ. de Concepcion, Concepcion, Chile
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
5651
Lastpage :
5656
Abstract :
The explicit consideration of a communication channel model in a feedback control loop is known to create a new type of fundamental limitation for stabilisability on the channel signal-to-noise ratio (SNR) when the continuous-time plant model is unstable. In this paper we quantify these type of limitations subject to model uncertainties when a robust controller is in place instead of the optimal SNR controller. We consider here the additive coloured Gaussian channel with bandwidth limitation model, for which we then quantify the infimal SNR subject to the simultaneous presence of plant, channel and noise model uncertainties. We observe that the infimal SNR expression is modified by the presence of model uncertainties and by the mismatch between the robust controller solution and the optimal controller solution achieving the infimal SNR limitation.
Keywords :
AWGN channels; continuous time systems; control system synthesis; feedback; optimal control; robust control; uncertain systems; additive coloured Gaussian channel; bandwidth limitation model; channe uncertainties; channel signal-to-noise ratio; communication channel model; continuous-time plant model; control design; infimal SNR limitation; noise model uncertainties; optimal controller solution; robust signal-to-noise ratio constrained feedback control loop; stabilisability; Channel models; Poles and zeros; Robustness; Sensitivity; Signal to noise ratio; Uncertainty; Linear systems; Networked control systems; Stability of linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858755
Filename :
6858755
Link To Document :
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