Title :
Adaptive parameter robust estimation
Author :
Mohammed, Dhafar S. ; Habibi, Saeid ; Prokhorov, Danil
Author_Institution :
Mech. Eng. Dept., McMaster Univ., Hamilton, ON
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634213
