DocumentCode
2181371
Title
Adaptive estimation of nonlinear discrete time systems
Author
Skantze, Fredrik P. ; Loh, Ai-Poh ; Annaswamy, Anuradha M.
Author_Institution
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Volume
1
fYear
1998
fDate
21-26 Jun 1998
Firstpage
594
Abstract
The paper concerns adaptive estimation of dynamic systems which are nonlinearly parametrized. A majority of adaptive algorithms employ a gradient approach to determine the direction of adjustment, which do not suffice for estimation in systems with nonlinear parametrization. We introduce a new algorithm which employs a different regression vector and leads to globally stable estimation
Keywords
adaptive control; adaptive estimation; discrete time systems; nonlinear control systems; parameter estimation; adaptive estimation; dynamic systems; globally stable estimation; nonlinear discrete time systems; regression vector; Adaptive algorithm; Adaptive estimation; Discrete time systems; Hypercubes; Parameter estimation; Stability; Yield estimation; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.694739
Filename
694739
Link To Document