DocumentCode :
1365397
Title :
A Structurally Stable Globally Adaptive Internal Model Regulator for MIMO Linear Systems
Author :
Obregón-Pulido, G. ; Castillo-Toledo, B. ; Loukianov, A.G.
Author_Institution :
Centro Univ. de Cienc. Exactas e Ingenierias, Univ. of Guadalajara, Guadalajara, Mexico
Volume :
56
Issue :
1
fYear :
2011
Firstpage :
160
Lastpage :
165
Abstract :
The problem of compensating an uncertain disturbance and/or tracking some reference signals for a general linear MIMO system is studied in this work using the robust regulation theory frame. The disturbances are assumed to be composed by a known number of distinct sinusoidal signals with unknown phases, amplitude and frequencies. Under suitable assumptions, an exponentially convergent estimator of the unknown disturbance parameters is proposed and introduced into the classical robust regulator design to obtain an adaptive controller. This controller guarantees that the closed-loop robust regulation is attained in some neighborhood of the nominal values of the parameters of system. A simulated example shows the validity of the proposed approach.
Keywords :
MIMO systems; adaptive control; closed loop systems; control system synthesis; linear systems; robust control; signal processing; uncertain systems; MIMO linear systems; adaptive controller; closed-loop robust regulation; robust regulator design; sinusoidal signals; structurally stable globally adaptive internal model regulator; uncertain disturbance; Adaptation model; Adaptive systems; Equations; Frequency control; Linear systems; Regulators; Robustness; Frequency estimation; nonlinear systems; regulation theory;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2010.2090409
Filename :
5613919
Link To Document :
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