DocumentCode
2961128
Title
Adaptive parameter robust estimation
Author
Mohammed, Dhafar S. ; Habibi, Saeid ; Prokhorov, Danil
Author_Institution
Mech. Eng. Dept., McMaster Univ., Hamilton, ON
fYear
2008
fDate
1-8 June 2008
Firstpage
2948
Lastpage
2955
Abstract
In this paper, we describe an adaptive technique for states and parameter estimation involving a combination of two methods, namely the Variable Structure Filter (VSF) and the Extend Kalman Filters (EKF).
Keywords
Kalman filters; adaptive estimation; neural nets; parameter estimation; uncertain systems; adaptive parameter robust estimation; extend Kalman filters; neural networks adaptation; pattern extraction algorithm; simultaneous perturbation stochastic approximation; variable structure filter; Adaptive filters; Approximation algorithms; Convergence; Neural networks; Parameter estimation; Robust stability; Robustness; State estimation; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634213
Filename
4634213
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