DocumentCode :
114576
Title :
M-MRAC with normalization
Author :
Stepanyan, Vahram ; Krishnakumar, Kalmanje
Author_Institution :
Univ. Affiliated Res. Center, Univ. of California Santa Cruz, Moffett Field, CA, USA
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1289
Lastpage :
1294
Abstract :
This paper presents a normalization based modified reference model adaptive control method for multi-input multi-output (MIMO) uncertain systems in the presence of bounded external disturbances. It has been shown that desired tracking performance can be achieved for the system´s output and input signals with the proper choice of design parameters. The resulting adaptive control signal satisfies a second order linear time invariant (LTI) system, which is the effect of the normalization term in the adaptive laws. This LTI system provides the guideline for the design parameter selection. The theoretical findings are confirmed via a simulation example.
Keywords :
MIMO systems; control system synthesis; linear systems; model reference adaptive control systems; uncertain systems; LTI system; M-MRAC; MIMO uncertain systems; design parameter selection; multiinput multioutput uncertain systems; normalization based modified reference model adaptive control; normalization term; second order linear time invariant system; Adaptation models; Adaptive control; Equations; Mathematical model; Predictive models; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7039559
Filename :
7039559
Link To Document :
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