… provide the necessary preliminaries for stability analysis and introduce our notation and
terminology of non-linear Kalman filters. Sections V and VI include proofs of stability. A rigorous …

… His research interests include stability analysis of electric power systems, emergency control,
FACTS devices, wind power generation, and application of artificial intelligence to power …

… The Kalman filter is an observer for linear and non-linear systems and is based on the …
covariance matrices Q and R on the stability of the Extended Kalman Filter. This last is used for the …

… The AThSKF is proposed, however, the detailed stability analysis of the AThSKF is the
main work in this paper. So the recursive process using three-stage U–V transformation and …

… This does not weaken the results, but however comes at the price of making the stability
analysis a little more complicated. Associated “Noisy” System: To tune the IEKF (16), (17) or (23)…

… provide new analysis on some fundamental properties of the Kalman filter based parameter
… to ensure the stability of a recursive algorithm. The stability of the Kalman filter is generally …

… and observable, and the stability analysis of the distributed CI … -based interacting Kalman
filter is stochastically bounded … stability analysis of consensus on Kullback–Leibler average …

… The Kalman Filter addresses the general problem of trying to estimate the state of a … the
Kalman Filter is more appropriate for the applications in a linear system. Hence, a Kalman Filter …

… Based on the assumption that all the states are measurable, stability analyses of the
closed-loop system with state-feedback nonlinear model predictive control (NMPC) have been …

… Tremendous research has been devoted to stability analysis of Kalman filtering or the
closed… the stability of Kalman filtering with Markovian packet losses. To aid the analysis, they …