DocumentCode
3560527
Title
Robust Finite-Time Parameter Estimation Using a Hybrid Systems Framework
Author
Hartman, M. ; Bauer, Nicolas W. ; Teel, A.R.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA
Volume
57
Issue
11
fYear
2012
Firstpage
2956
Lastpage
2962
Abstract
This technical note investigates the problem of parameter estimation for a class of nonlinear systems. We show that by placing a member of this class of systems into a hybrid dynamical system, we can identify its parameter exactly and in finite time. Furthermore, by using tools developed for hybrid systems, we show that the estimation has robust properties. In particular, the hybrid system contains a compact globally asymptotically stable set where the stability is robust to small perturbations. We also present conditions that ensure convergence of the parameter estimate.
Keywords
asymptotic stability; nonlinear control systems; parameter estimation; robust control; global asymptotic stability; hybrid dynamical system; hybrid system framework; nonlinear system; robust finite-time parameter estimation; Asymptotic stability; Equations; Mathematical model; Noise; Noise measurement; Robustness; Time domain analysis; Adaptive control; estimation; hybrid systems; nonlinear systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
Conference_Location
4/19/2012 12:00:00 AM
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2012.2194334
Filename
6187697
Link To Document