Results 101 to 110 of about 4,229 (191)
Protein aggregation drives diverse degenerative diseases, yet its molecular origins are difficult to predict. SKALE uses interpretable machine learning to link sequence, structure, and dynamics, revealing how local structural weakening triggers aggregation.
Wei Xuan Wilson Loo +7 more
wiley +1 more source
Considering the complexity and difficulty of obtaining certain parameters in the electro-hydraulic proportional control system, a precise transfer function of the system was derived through parameter identification using experimental data obtained from ...
Jianbo Dai +5 more
doaj +1 more source
Neural network‐based offset‐free model predictive control for nonlinear systems
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
ABSTRACT System dynamics uncertainties and cyberattacks pose significant challenges to load frequency control in power systems. This paper presents a data‐driven load frequency control strategy for interconnected multi‐area power systems subject to denial‐of‐service attacks that disrupt both feedforward and feedback communication channels.
Yuhao Chen +4 more
wiley +1 more source
This paper proposes a control method to improve the dynamic performance of a two-phase DM (Differential Mode)-coupled boost converter designed for applications such as hybrid vehicles and railway systems. A conventional boost converter can be modified to
Seong-Wook Jeong +3 more
doaj +1 more source
The relationship between primary somatosensory cortex (S1) and secondary somatosensory cortex (S2) during learning is not clear. Here, we show that when confronted with a texture discrimination using the whiskers, S2 is required during learning but not after learning.
Anurag Pandey +7 more
wiley +1 more source
Preview Feedforward Compensation: LMI Synthesis and Flight Simulation
Abstract This paper proposes a novel synthesis technique for discrete-time preview feedforward compensation via linear matrix inequality (LMI). While an LMI synthesis condition for preview control in the previous research yields both feedback gain and preview feedforward compensation simultaneously, the proposed approach can derive feedforward ...
openaire +1 more source
ABSTRACT This review synthesizes recent research on the physiological blind spot as a model for studying the interplay between attention, perception, and conscious visual experience. Scanning studies from 1996 to 2025, the review focuses on eye‐tracking methodologies, predictive coding, clinical translation, and individual variability.
Alessandro Bortolotti, Riccardo Palumbo
wiley +1 more source
To address the attitude stabilization control problem of hexacopters under unknown disturbances, a nonlinear feedforward compensation backstepping control method for attitude stabilization of hexacopter is proposed.
LI Shuheng, HE Defeng, LIAO Fei, MU Jianbin
doaj +1 more source
Feedforward Friction Compensator Design for Shake Table System
This study deals with the design of feedforward compensator for the shake table system via Higher Order Sinusoidal Input Describing Functions (HOSIDFs) in order to reduce the performance degrading effect of the friction existing in the system. In this study, HOSIDFs are used to analyze the effect of Coulomb type friction on the output of the system ...
openaire +3 more sources

