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
Link To Document :
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