Adaptation and tracking in system identification—a survey
Automatica (Journal of IFAC) - Identification and system parameter estimation
Analysis of the Kalman filter based estimation algorithm: an orthogonal decomposition approach
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Hi-index | 22.14 |
It is shown that the difference Riccati equation of the Stenlund-Gustafsson (SG) algorithm for estimation of linear regression models can be solved elementwise. Convergence estimates for the elements of the solution to the Riccati equation are provided, directly relating convergence rate to the signal-to-noise ratio in the regression model. It is demonstrated that the elements of the solution lying in the direction of excitation exponentially converge to a stationary point while the other elements experience bounded excursions around their current values.