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