Robust Kalman filter for descriptor systems Page 1 1354 IEEE TRANSACTIONS ON
AUTOMATIC CONTROL, VOL. 51, NO. 8, AUGUST 2006 [18] ——, “ H -optimal control of …

This paper studies the fusion filtering problem for a class of multi-sensor rectangular
descriptor systems with stochastic bias and random observation delays under weighted try …

In this article, the problem of fault estimation is studied for nonlinear stochastic systems with
sensor faults. The system under investigation involves stochastic noise with unknown but …

This study considers the optimal linear estimation problem for the discrete‐time stochastic
fractional‐order system in its more general formulation. The system is allowed to be in …

An optimal state and fault estimation scheme is proposed for two-dimensional discrete
systems subject to either deterministic disturbances or stochastic disturbances (noises). A …

This paper addresses the optimal unbiased minimum-variance state estimation of descriptor
systems in the framework of unknown input filtering. It is shown that any descriptor system …

This study considers the problem of simultaneously estimating the state and the fault of an
uncertain direct current (DC) motor in light of the unknown input filtering framework. The …

In this paper we deal with an optimal filtering problem for uncertain discrete-time systems.
Parametric uncertainties of the underlying model are assumed to be norm bounded. We …

Effective and accurate state estimation is a staple of modern modeling. On the other hand,
nonlinear fractional-order singular (FOS) systems are an attractive modeling tool as well …

Abstract In our recent paper [1], we have developed a simple algorithm for the state
estimation of discrete-time linear stochastic fractional-order singular (FOS) systems based …