Title :
A combined observer for robust state estimation and Kalman filtering
Author :
Kwon, SangJoo ; Chung, Wan Kyun ; Youm, Youngil
Author_Institution :
Microsyst. Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
Abstract :
A combined observer is synthesized by unifying the conventional linear state estimator and the perturbation observer to estimate plant uncertainties and disturbances. It enables robust state estimation for uncertain dynamical systems and simultaneously, provides full-state to the perturbation observer under output feedback condition. The proposed combined observer is very practical since it is given as a recursive discrete-time form with minimal tuning parameters and it requires above all no knowledge of the plant uncertainty. A coupled estimation error dynamics is derived and the related technical issues such as stability and noise sensitivity are addressed. The combined observer setting is also extended to stochastic systems and the discrete Kalman filter is reformulated by including the perturbation estimate update process. Numerical examples and experimental results validate the proposed schemes.
Keywords :
Kalman filters; discrete time systems; filtering theory; observers; sensitivity analysis; stability; state estimation; state feedback; state-space methods; uncertain systems; discrete Kalman filter; estimation error dynamics; linear state estimator; minimal tuning parameters; noise sensitivity; observer; output feedback condition; perturbation observer; plant uncertainty estimation; recursive discrete-time systems; robust state estimation; stability; stochastic systems; uncertain dynamical systems; Estimation error; Filtering; Kalman filters; Observers; Output feedback; Robustness; Stability; State estimation; Stochastic systems; Uncertainty;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243444