… Unlike many existing filters for unknown inputs, the filter developed in this paper is an
MMSE estimator. Under the assumption of Gaussian noise terms, it can be obtained without …

… This OTSKE, however, is limited to systems with unknown inputs that have a prescribed …
unknown input model. This paper considers state estimations for systems with unknown inputs …

This paper proposes a decentralized derivative-free dynamic state estimation method in the
context of a power system with unknown inputs, to address cases when system linearization …

… of new nonlinear filter to handle unknown inputs. … inputs, we derive a filter by minimizing
the trace of the state error covariance matrix; 2) without input estimation, we derive the filter by …

… have been dedicated to the case where unknown inputs may be simultaneously or … a Kalman
filter approach is proposed for state estimation of systems with unknown intermittent inputs. …

… Kalman filter with unknown input (KF-UI). In this paper, a generalized Kalman filter with
unknown input (GKF-UI) is proposed to identify structural states and unknown earthquake inputs …

A novel concept denoted as unscented Kalman filter with unknown input and weighted
global iterations (UKF‐UI‐WGI) to assess health of large structural systems is proposed. It …

… The road roughness acts as a disturbance input to the vehicle dynamics, and causes …
roughness estimation method by using the discrete Kalman filter with unknown input (DKF-UI). This …

… , denoted as unscented Kalman filter with unknown input (UKF-UI), … It integrates the unscented
Kalman filter concept and an … The superiority of UKF-UI over extended Kalman filter-based …

… of external inputs to structures is … Kalman filter methods applied with unknown inputs have
been proposed. The authors have proposed an extended Kalman filter with unknown inputs …