Online estimation of the internal states is a perquisite for monitoring, control, and fault
diagnosis of many engineering processes. A cost effective approach to monitor these …

This article reviews progress and challenges in model driven EEG/fMRI fusion with a focus
on brain oscillations. Fusion is the combination of both imaging modalities based on a …

This paper investigates the state estimation of a high-fidelity spatially resolved thermal-
electrochemical lithium-ion battery model commonly referred to as the pseudo two …

A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …

This paper investigates the use of guaranteed methods to perform state and parameter
estimation for nonlinear continuous-time systems, in a bounded-error context. A state …

We present effective numerical algorithms for approximating unknown governing differential
equations from measurement data. We employ a set of standard basis functions, eg …

An innovative and modular system (LyoMonitor) for monitoring the primary drying of a
lyophilization process in vials is illustrated: it integrates some commercial devices (pressure …

This paper provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

This article examines the problem of Lithium-Sulfur (Li-S) battery state estimation. Such
estimation is important for the online management of this energy-dense chemistry. The …

This work presents a constrained abridged Gaussian sum extended Kalman filter
(constrained AGS–EKF) that employs Gaussian mixture models to improve the estimation of …