Results 191 to 200 of about 94,605 (282)

Neural network‐based offset‐free model predictive control for nonlinear systems

AIChE Journal, Volume 72, Issue 2, February 2026.
Abstract This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model is augmented with an integrating disturbance model, resulting in an ...
Hesam Hassanpour, Prashant Mhaskar
wiley   +1 more source

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

Advanced Physics Research, Volume 5, Issue 2, February 2026.
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley   +1 more source

Evolutionary analysis of slope direction deformation in the Gaojiawan landslide based on time-series InSAR and Kalman filtering. [PDF]

PLoS One
Yao J, Zhan R, Guo J, Wang W, Yuan M, Li G, Zhang B, Zhang R.   +7 more
europepmc   +1 more source

Benchmarking the Transferability of Real‐Time State of Charge Algorithms to Sodium‐Ion Cells Using an Open‐Source Diagnostics Framework

Batteries &Supercaps, Volume 9, Issue 2, February 2026.
Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade, Elias Hempen, Hanna van den Berg, Dominik Jöst, Franziska Berger, Florian Ringbeck, Dirk Uwe Sauer   +6 more
wiley   +1 more source

A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction. [PDF]

Sci Rep
Zhang S, Yang L.
europepmc   +1 more source

Physics‐Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 2, February 2026.
This work presents an innovative approach to modelling 1D fluid dynamics in complex networks using physics‐informed neural networks as surrogate models. By integrating physics‐based constraints with data‐driven learning, we develop an efficient and generalisable framework for uncertainty quantification and parameter estimation in real‐world ...
William Ryan, Alyssa Taylor‐LaPole, Mette Olufsen, Dirk Husmeier, Vladislav Vyshemirskiy   +4 more
wiley   +1 more source

Research on Combined Localization Algorithm Based on Active Screening-Kalman Filtering. [PDF]

Sensors (Basel)
Zhang X, Fu Y, Li J, Wei Y, Li Y, Zheng L.   +5 more
europepmc   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, Volume 14, Issue 2, Page 887-904, February 2026.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source

Dual-Model Derailment Detection Algorithm Based on Variational Bayesian Kalman Filtering. [PDF]

Micromachines (Basel)
Fan S, Gao X, Zhang Y, Chen H, Yi G, Hao Q.   +5 more
europepmc   +1 more source

Diffusion Tensor MRI and Spherical‐Deconvolution‐Based Tractography on an Ultra‐Low Field Portable MRI System

Human Brain Mapping, Volume 47, Issue 2, February 1, 2026.
A Portable ULF scanner (1a) imaged a subject (1b) and phantom (1c) to give T2 (2a) and DW (2b) acquisitions alongside a regularised phantom fieldmap (2c). These were processed to give corrected DTI (3a) and CSD (3b) derivatives and were used for whole‐brain tractography (3c) in a feasible acquisition duration.
James Gholam, Phil Schmid, Joshua Ametepe, Alix Plumley, Leandro Beltrachini, Francesco Padormo, Rui Teixeira, Rafael O'Halloran, Kaloian Petkov, Klaus Engel, Steven C. R. Williams, Sean Deoni, Mara Cercignani, Derek K. Jones   +13 more
wiley   +1 more source