In this article, the multipass optimal finite impulse response (OFIR) filtering approach is
developed for industrial processes with unknown initial conditions under temporary model …

In this paper, an iterative finite impulse response (FIR) filter is proposed for discrete time-
varying state-space models, with the purpose of a new initialization strategy for the iterative …

This paper is concerned with the minimum variance unbiased (MVU) finite impulse response
(FIR) filtering problem for linear system described by discrete time-variant state-space …

In this paper, an optimal unbiased finite impulse response (OUFIR) filter is proposed as a
linking solution between the unbiased FIR (UFIR) filter and the Kalman filter (KF). We first …

The unbiased finite impulse response (UFIR) filter has strong engineering features for
industrial applications, because it does not require the noise statistics and initial values. This …

Measurements are often provided in the presence of noise and uncertainties that require
optimal filters to estimate processes with highest accuracy. The ultimate iterative unbiased …

To overcome the resulting problems of existing finite impulse response (FIR) structure filters,
this paper proposes an alternative FIR filter for state estimation in discrete-time systems …

The optimal finite impulse response (FIR) filter is applied to systems with both unknown
inputs and noise, in order to obtain noise-suppressed estimates of the unknown inputs. The …

This paper concerns with a new linear finite impulse response (FIR) filter called the receding
horizon unbiased FIR (RHUF) filter for the state estimation in discrete-time state space …

A receding horizon unbiased finite-impulse response filter (RHUFF) is proposed for
continuous-time state space models. Linearity, unbiasedness, finite-impulse response (FIR) …