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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.694739
