Title :
Stochastic stability of the continuous-time extended Kalman filter
Author :
Reif, K. ; Günther, S. ; Yaz, E. ; Unbehauen, R.
Author_Institution :
BMW AG, Munich, Germany
fDate :
1/1/2000 12:00:00 AM
Abstract :
The error behaviour of the extended Kalman filter is analysed. It is proved that the estimation error remains bounded if the system satisfies a detectability condition and both the initial estimation error and the disturbing noise terms are small enough. Moreover, some selected cases with both bounded and unbounded estimation error are demonstrated by numerical simulations
Keywords :
nonlinear filters; bounded error; continuous-time extended Kalman filter; detectability condition; disturbing noise; estimation error; stochastic stability; unbounded error;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:20000125