This article proposes, a novel obstacle avoidance algorithm for a mobile robot based on
finite memory filtering (FMF) in unknown dynamic environments. To overcome the limitations …

Accurate indoor localization information of the quadrotor plays an important role in many
Internet-of-Things applications. To improve the estimation accuracy and robustness, a fixed …

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

For the target-tracking problem, full state of the target may not be available since it may be
expensive or impossible to obtain. Thus, the state needs to be reconstructed or estimated …

An unbiased finite impulse response (UFIR) filtering algorithm is designed in the discrete-
time state-space for industrial processes with unknown measurement data covariance. By …

Data fusion in the quadrotor integrated navigation system combining information from the
inertial navigation system (INS) and ultra wide band (UWB)-based system is provided in the …

Under coloured noise, known modifications of the Kalman filter (KF) exist only for discrete‐
time state‐space models produced by the forward Euler (FE) method, which fits with …

A new adaptive interacting multiple model (IMM)-based unbiased finite impulse response
(UFIR)/Kalman filter (KF) algorithm is proposed to provide accurate and robust mini …

A seamless indoor pedestrian tracking scheme using a least square-support vector machine
(LS-SVM) assisted unbiased finite impulse response (UFIR) filter is designed to achieve …

The last few decades have witnessed much development in filtering of systems with
Gaussian noises and arbitrary unknown inputs. Nonetheless, there are still some important …