Deadbeat Control for Linear Systems with Input Constraints
Dane Baang, Dongkyoung Chwa
openaire +1 more source
A review on topology and control strategies of high-power inverters in large- scale photovoltaic power plants. [PDF]
Azizi A +4 more
europepmc +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
DEADBEAT CONTROL, POLE PLACEMENT, AND LQ REGULATION [PDF]
openaire +2 more sources
Effortless Totem-Pole Converter Control Using a Power Factor Correction Peak Current-Mode Controller. [PDF]
Alsalemi A, Massoud A.
europepmc +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
Development of a solar-integrated energy management system for grid-to-vehicle and vehicle-to-grid power exchange. [PDF]
Rao NVK, Krishna KB.
europepmc +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 speed control of permanent magnet synchronous motors using model predictive and sliding mode strategies. [PDF]
Meawad M +3 more
europepmc +1 more source
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source

