Rs. Li et Ds. Chu, STABILITY OF KALMAN FILTER FOR TIME-VARYING SYSTEMS WITH CORRELATED NOISE, International journal of adaptive control and signal processing, 11(6), 1997, pp. 475-487
Citations number
14
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control","Engineering, Eletrical & Electronic
The stability of a Kalman filter based on an adaptive estimator in the
time average sense for a time-varying stochastic system with correlat
ed noise is obtained under a persistent excitation condition. The stab
ilities of the closed-loop system and estimating error are established
by designing an adaptive control law and restricting the growth rates
of input and output signals, The stabilities of the extended least sq
uares algorithm with forgetting factor and with covariance modificatio
n in the time average sense and sample average sense respectively are
obtained. (C) 1997 by John Wiley & Sons, Ltd.