This study presents a novel operational scheme for post-combustion CO 2 capture (PCC)
plants downstream from fuel-fired power plants. The approach is comprised of real-time …

The transition towards a sustainable energy sector depends on how we safely manage the
transport and storage of energy to keep up with the demand. Large storage (TWh) of …

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

Abstract Studies on Extended Kalman Filter (EKF) that explicitly consider non-Gaussian
process uncertainties are scarce in the literature. In the current study, a novel approach …

High water recirculation combined with a low rate of water exchange can deteriorate water
quality and affect fish welfare in recirculating aquaculture systems (RAS). A nonlinear model …

Due to the lack or high costs of measurement devices to monitor and control metabolites in
microbial cultivation processes, state estimators are often required. These estimators …

Industrial processes are often subject to unexpected process uncertainties or measurement
noises such that their distributions may become non-Gaussian and unforeseeable. A Moving …

Uncertainty is inherent to the measurement and modeling of process systems, where it can
have significant impacts on the efficacy of optimization techniques. This work proposes a …

The use of nonlinear model predictive control (NMPC) for the integration of design and
control remains as an open area of research. When NMPC is incorporated into the …

Studies on moving horizon estimation (MHE) for applications featuring process uncertainties
and measurement noises that follow time‐dependent non‐Gaussian distributions are absent …