Results 131 to 140 of about 19,243,975 (288)
Nonlinear Deadbeat Current Control of a Switched Reluctance Motor
High performance current control is critical to the success of the switched reluctance motor (SRM). Yet high motor phase nonlinearities in the SRM place extra burden on the current controller, rendering it the weakest link in SRM control.
Rudolph, Benjamin
core
Hexagonal zoning deadbeat model predictive control of induction motor
Deadbeat model predictive control is known as a precise control method in motor control applications. Recently, finite set deadbeat control is applied to power electronics applications.
Saeed Lotfollahzadegan +11 more
core +1 more source
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou +18 more
wiley +1 more source
Improved Deadbeat Predictive Current Control With Extended State Observer for Dual Three-Phase PMSMs
A deadbeat predictive current control (DPCC) method based on extended state observer (ESO) is proposed to improve the control performance of dual three-phase permanent magnet synchronous motors (DTP-PMSMs) under parameter mismatch.
Guo, D, Lin, X, Yao, M, Lei, G, Sun, X
core +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li +10 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Circular RNA circFOXK2 is frequently upregulated in pancreatic ductal adenocarcinoma to promote tumor heterogeneity, growth, and metastasis. Through circRNA‐DNA interaction at different genomic locations, circFOXK2 removes the PPIE inhibitory effects on MLL1 for gene‐activating H3K4 methylation of the oncogenes.
Chi Hin Wong +5 more
wiley +1 more source
Robust deadbeat predictive current control for unipolar sinusoidal excited SRM with multi-parameter mismatch compensation. [PDF]
Liu D, Fan Y, Liu J, Wang G, Sheng L.
europepmc +1 more source

