DocumentCode
1257449
Title
On Feedback Capability in a Class of Nonlinearly Parameterized Uncertain Systems
Author
Chanying Li ; Lei Guo
Author_Institution
Dept. of Mech. Eng., Univ. of Hong Kong, Hong Kong, China
Volume
56
Issue
12
fYear
2011
Firstpage
2946
Lastpage
2951
Abstract
In this technical note, we will investigate the maximum capability and limitations of the feedback mechanism in globally stabilizing a basic class of discrete-time nonlinearly parameterized dynamical systems with multiple unknown parameters. Both “possibility” and “impossibility” theorems together with a fairly complete characterization on the capability of feedback will be presented. It will be seen that to characterize the feedback capability, the growth rates of the sensitivity functions of the nonlinear dynamics with respect to the uncertain parameters play a crucial role, and a suitable decomposition of the family of the nonlinearly parameterized functions in question turns out to be necessary.
Keywords
discrete time systems; feedback; nonlinear dynamical systems; possibility theory; sensitivity analysis; stability; uncertain systems; discrete-time nonlinearly parameterized dynamical systems; feedback capability; feedback mechanism; global stabilization; impossibility theorem; maximum capability; nonlinearly parameterized uncertain systems; possibility theorem; sensitivity functions; Adaptive control; Control systems; Nonlinear systems; Polynomials; Uncertain systems; Uncertainty; Feedback capability; global stabilization; nonlinear systems; parameterized uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2011.2160599
Filename
5929536
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