… Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current
states of a system through time as recursive using input measurements in mathematical …

… The problem of state estimation for a linear system with unknown input was discussed in […
input and state estimation for systems with unknown inputs. The problem of simultaneous input …

… state Kalman filter (IASKF) to obtain the unknown input and state estimation for systems with
the rank-deficient matrix. With the aid of input … , the augmented state Kalman filter (ASKF) is …

… CONCLUSION In this paper, we have derived Kalman filtering recursions for linear time-…
and unknown inputs that affect both the system and the output. By including the unknown input …

… with arbitrary unknown inputs. It is known that the celebrated extended Kalman filter (EKF)
may have poor performance due to the lack of the true dynamics of the unknown input. A …

… with two known inputs. A real-time implementable recursive solution for unknown input(s)
is obtained by utilizing an unknown input observer based on the extended Kalman filter (EKF-…

… be unknown and they may not follow Gaussian distributions. As a result, the traditional Kalman
filter-… a robust generalized maximum-likelihood unscented Kalman filter (GM-UKF). The …

… with known deterministic plus known Gaussian inputs to considerations of and allowance
for nonlinear equations, unknown non-Gaussian noises, and unknown inputs. Exactly at which …

… Abstract—In this paper a new unknown input estimation method is proposed for a class of …
time dependent unknown inputs, when the system states and process noises are unknown but …

… of the system, this paper presents a Kalman filter (KF) algorithm to monitor the network while
… is designed using a combination of an unknown input observer method and KF for robust …