… estimate the input forcing functions and the noise … inputs and the noise statistics are
unknown. In this paper, we propose a method to adapt the Kalman filter to the changes in the input …

… Kalman filter approach referred to as the General Extended Kalman filter with unknown
inputs … the structural parameters and the unknown excitations (inputs) simultaneously. The …

… derive a robust filter, which is unaffected by the unknown inputs. This … filter is obtained by
making use of the two-stage Kalman filtering technique [6] and a new proposed unknown inputs …

… filter design under both unknown inputs and norm constraints on the state, without making
the assumptions regarding the unknown input… constraints, the optimal state filter gains, if exist, …

… and the extended Kalman filter (EKF), have … (input data) be measured or available, which
may not be the case for many structures. In this paper, an EKF approach with unknown inputs (…

… In this paper, the extended Kalman filter (EKF) technique for … observed variables, including
input signals, be measured or … As a result, the extended Kalman filter with unknown inputs, …

… This paper proposes an Unknown Input Extended Kalman Filter (UIEKF) for stochastic
non linear systems affected by Gaussian noises and Unknown Inputs (UI) in both state and …

… a new approach for the Kalman filtering with unknown inputs. The problem is … Kalman
filtering with unknown inputs In this section we show how to handle the generalized Kalman filter …

… three-stage Kalman Filter (OThSKF) is used. However, when the fault and the unknown
inputs are not perfectly known, we develop the Robust three-stage Kalman Filter (RThSKF). This …

… with unknown inputs that affect both the system and the output with the descriptor Kalman
filtering … It is shown that directly applying the conventional descriptor Kalman filter (DKF) to the …