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 …

In this article, a self-contained procedure to estimate the vertical, medial-lateral, and anterior-
posterior displacement of a single sacrum-worn inertial measurement unit (IMU) is …

In recent years the monitoring of structural behavior through acquisition of vibrational data
has become common practice. In addition, recent advances in sensor development have …

Source term estimation algorithms compute unknown atmospheric transport and dispersion
modeling variables from concentration observations made by sensors in the field. Insufficient …

In the event of an atmospheric contaminant release, it is crucial to ascertain the source
information for the contaminant, both for mitigation purposes and to predict subsequent …

Delivering high-accuracy GNSS using a low-grade receiver is seen as a holy grail to many
positioning and navigation researchers and engineers. Proposed in this paper is a …

Assimilating concentration data into an atmospheric transport and dispersion model can
provide information to improve downwind concentration forecasts. The forecast model is …

A network of independently trained Gaussian processes (StackedGP) is introduced to obtain
predictions of geospatial quantities of interest (model outputs) with quantified uncertainties …

In this paper we will present early work on using a DDDAS based approach to the
construction of probabilistic estimates of volcanic ash transport and dispersal. Our primary …

We present a new methodology to identify if forced oscillation (FO) sources are located in
excitation systems or turbine governors. In this context, we propose to harness the …