DocumentCode :
1318753
Title :
Multivariable Adaptive Backstepping Control: A Norm Estimation Approach
Author :
Chenliang Wang ; Yan Lin
Author_Institution :
Sch. of Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume :
57
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
989
Lastpage :
995
Abstract :
In this note, a novel output-feedback adaptive backstepping control is proposed for linear time-invariant multivariable plants under a mild assumption that the Hurwitz condition for high-frequency gain matrix is satisfied. By estimating the norm of those unknown parameter matrices instead of their elements, it is shown that only one parameter needs to be updated online and therefore, the computational burden can be greatly reduced compared with any current multivariable adaptive control scheme.
Keywords :
adaptive control; estimation theory; feedback; linear systems; matrix algebra; multivariable control systems; Hurwitz condition; high-frequency gain matrix; linear time-invariant multivariable plants; multivariable adaptive backstepping control; norm estimation; output-feedback adaptive backstepping control; parameter matrices; Adaptation models; Adaptive control; Backstepping; Equations; Estimation; Lyapunov methods; Tuning; Adaptive control; backstepping; multivariable plants; output-feedback;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2011.2167815
Filename :
6017103
Link To Document :
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