The smooth variable structure filter (SVSF) is a type of sliding mode filter formulated in a
predictor-corrector format and has seen significant development over the last 15 years. In …

Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

Phasor estimation under dynamic conditions has been under study recently by relaxing the
amplitude and phase of the static phasor. This paper will review some methods to estimate …

In this paper, we consider the identification problem for nonlinear state-space models with
skewed measurement noises. The generalized hyperbolic skew Student'st (GHSkewt) …

This paper proposes a new adaptive estimation strategy for a nonlinear system with
modeling uncertainties. The extended Kalman filter (EKF) and unscented Kalman filter (UKF) …

In this paper, an adaptive formulation of the sliding innovation filter (SIF) is presented. The
SIF is a recently proposed estimation strategy that has demonstrated robustness to modeling …

In this paper, a new filter referred to as the sliding innovation filter (SIF) is presented. The SIF
is an estimation strategy formulated as a predictor-corrector that makes use of a switching …

In this paper, a new filter in the nonlinear Kalman filtering framework is proposed. The new
filter is referred to as the lattice Kalman filter (LKF) and is based on a class of quasi-Monte …

Abstract Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness
the power of digitalisation in the WRRF sector. The lack of consensus and understanding …

Inferring the depth of images is a fundamental inverse problem within the field of Computer
Vision since depth information is obtained through 2D images, which can be generated from …