Results 101 to 110 of about 14,228,214 (289)

MagGami: An Electromagnetic Origami Actuator With High Stiffness‐Switching Density for Lightweight Joint‐Space Wearable Haptics

open access: yesAdvanced Science, EarlyView.
Concept of the MagGami‐based joint‐space haptic glove. a) Comparison between Cartesian‐space fingertip force feedback and distributed joint‐space torque feedback, highlighting the limitations of representative motor‐driven, pneumatic, and smart material‐based haptic actuators.
Tianhao Jin   +9 more
wiley   +1 more source

Virtual inertia for variable speed wind turbines

open access: yes, 2013
Inertia provision for frequency control is among the ancillary services that different national grid codes will likely require to be provided by future wind turbines.
Münster-Swendsen, Janus   +11 more
core   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

open access: yesAdvanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang   +9 more
wiley   +1 more source

Improved piecewise coordinated frequency control of wind power generation system considering voltage restoration

open access: yes电力工程技术
The large-scale integration of wind farms and power electronic devices reduces the total inertia and frequency regulation capability of power grid. The new energy systems,including wind power generation system,are required to provide sufficient inertia ...
Yuehai CHEN   +5 more
doaj   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

Adaptive Virtual Inertia for AC Grids Connected to MT‐HVDC Grid by Considering DC Voltage Stability

open access: yesIET Renewable Power Generation
The growing integration of power electronics converters (PECs) and multi‐terminal high voltage DC (MT‐HVDC) grids within the power system decreases the system's inertia.
Amir Arsalan Astereki   +4 more
doaj   +1 more source

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

open access: yes
In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs). Integrating RESs into power systems presents numerous challenges, notably the need for enhanced grid
Nafis Ahmed Chowdhury   +11 more
core   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha   +2 more
wiley   +1 more source

Adaptive virtual inertial control for frequency stability in islanded microgrids using Walrus Optimization Algorithm and Sliding Mode Controller

open access: yesEnergy Reports
Reliable frequency stability in islanded microgrids has become increasingly challenging due to reduced system inertia, high renewable penetration, and parameter uncertainties.
Akeem Babatunde Akinwola   +2 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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