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 …

This paper investigates the problem of spacecraft interception game with incomplete-
information and proposes switching strategies based on the differential game theory. In the …

This article demonstrates the use of five different methods to estimate partial discharge (PD)
location in an oil insulation system from noisy measurements. The measurements are …

Currently, the automotive industry is experiencing a significant technology shift from internal
combustion engine propelled vehicles to second generation battery electric vehicles (BEVs) …

This paper concerns the robust state estimation of automotive radar targets in presence of
model uncertainty. Smooth variable structure filter (SVSF) achieves error-bounded …

Model uncertainty is a serious challenge for robustness of tracking algorithms in radar
systems. The smooth variable structure filter (SVSF) achieves error-bounded estimations for …

The probability‐based filtering method has been extensively used for solving the
simultaneous localization and map** (SLAM) problem. Generally, the standard filter …

Tracking of manoeuvring subsonic aerospace vehicles has traditionally been handled by
state estimators. Ordinary state estimators perform poorly as the concerned process model …

State estimation strategies play a critical role in obtaining accurate information about the
state of dynamic systems as they develop. Such information can be important on its own and …

This article proposes an enhanced fusion technique to improve the accuracy of the state
estimation of a navigational system. The smooth variable structure filter (SVSF) is examined …