On data-driven modeling and control in modern power grids stability: Survey and perspective
Modern power grids are fast evolving with the increasing volatile renewable generation,
distributed energy resources (DERs) and time-varying operating conditions. The DERs …
distributed energy resources (DERs) and time-varying operating conditions. The DERs …
Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent …
Z Parsa, R Dhib, M Mehrvar - Bioengineering, 2024 - mdpi.com
This review emphasizes the significance of formulating control strategies for biological and
advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to …
advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to …
Data-driven modeling and stability control for industrial zinc roaster and its edge controller implementation
X Ying, D Wu, K Huang, C Yang, W Gui - Control Engineering Practice, 2023 - Elsevier
As large-scale industrial equipment, the operation stability control of the zinc roaster can
improve the roasting efficiency and ensure industrial safety. In the industrial field, the roaster …
improve the roasting efficiency and ensure industrial safety. In the industrial field, the roaster …
A novel health indicator based on the Lyapunov exponent, a probabilistic self-organizing map, and the Gini-Simpson index for calculating the RUL of bearings
A Rai, JM Kim - Measurement, 2020 - Elsevier
The estimation of the remaining useful life (RUL) of rolling element bearings has been an
area of excessive research over the past few decades. Time-series forecasting approaches …
area of excessive research over the past few decades. Time-series forecasting approaches …
CFD-based computational studies of quantum dot size control in slug flow crystallizers: Handling slug-to-slug variation
Recently, slug-flow crystallizers (SFCs) have been proposed for continuous manufacturing
of colloidal quantum dots (QDs). Despite the intriguing advantages of SFCs for controlled …
of colloidal quantum dots (QDs). Despite the intriguing advantages of SFCs for controlled …
Data‐driven optimal predictive control of seismic induced vibrations in frame structures
Complex civil engineering structural systems are prone to seismic induced vibrations during
which their inherent dynamical features are displayed often causing discrepancies with the …
which their inherent dynamical features are displayed often causing discrepancies with the …
Dynamic modeling and predictive control of boil-off gas generation during LNG loading
During liquefied natural gas (LNG) loading, excessive boil-off gas (BOG) is generated due to
the temperature difference between the LNG and a tank at room temperature. While one way …
the temperature difference between the LNG and a tank at room temperature. While one way …
Dynamic modeling and offset-free predictive control of LNG tank
Due to tightened regulations on sulfur oxide (SO x) and nitrogen oxide (NO x) emissions,
especially, in the ocean industry, liquefied natural gas (LNG) is becoming more important as …
especially, in the ocean industry, liquefied natural gas (LNG) is becoming more important as …
Learning models for seismic-induced vibrations optimal control in structures via random forests
Data-driven modeling of dynamical systems gathers attention in several applications; in
conjunction with model predictive control, novel different identification techniques that merge …
conjunction with model predictive control, novel different identification techniques that merge …
Real-time temperature rise estimation during irreversible electroporation treatment through state-space modeling
To evaluate the feasibility of real-time temperature monitoring during an electroporation-
based therapy procedure, a data-driven state-space model was developed. Agar phantoms …
based therapy procedure, a data-driven state-space model was developed. Agar phantoms …