Results 121 to 130 of about 15,894 (296)
IET Power Electronics, 2016 Inverter non‐linearities and machine spatial harmonics yield voltage errors that make harmonic current control and mitigation a challenging task. In this study, a method is presented that allows online identification and compensation of these effects to enable precise control and mitigation of current harmonics of interior permanent magnet synchronous ...
Jan Richter, Martin Doppelbauer
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Advanced Intelligent Systems, EarlyView.Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
IEEE Open Journal of the Industrial Electronics SocietyA novel implantable total artificial heart, hereinafter referred to as the ShuttlePump, is currently under development in a research collaboration between the Medical University of Vienna, the Power Electronic Systems Laboratory of ETH Zurich and Charite
Rosario V. Giuffrida +6 more
doaj +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
A Dual‐Ion Multiphysics Model for Smart and Sustainable Sensors Based on Bacterial Cellulose
Advanced Intelligent Systems, EarlyView.Bacterial cellulose (BC), functionalized with ionic liquids (ILs) and conductive polymers, offers promise for sustainable sensor applications. To enable real‐world integration, this work presents the first dual‐carrier, multiphysics white‐box model of mechanoelectric transduction in BC–IL sensors, combining mechanical deformation and ion transport ...
Francesca Sapuppo +7 more
wiley +1 more source
Major Reference Works, Page 290-301., 2021 International Tables for Crystallography is the definitive resource and reference work for crystallography and structural science.
Each of the eight volumes in the series contains articles and tables of data relevant to crystallographic research and to applications of crystallographic methods in all sciences concerned with the ...
John P. Sutter C. Chantler +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Machine learning techniques for vector control of permanent magnet synchronous motor drives
Cogent EngineeringIn the conventional vector control technique for motor drive, Proportional-Integral (PI) controllers are being used, which are sensitive to parameter variations of the drive system.
Ashly Mary Tom, J. L. Febin Daya
doaj +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Advanced Intelligent Systems, EarlyView.Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source