Results 21 to 30 of about 205 (153)

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng   +4 more
wiley   +1 more source

Magnetically levitated train in non‐stationary mode of motion [PDF]

open access: yes, 2018
Объект исследования – нестационарные режимы движения магнитолевитирующего поезда. Цель исследования – оценить его динамические качества и нагруженность в таких режимах.
Поляков, В. А.   +1 more
core  

Fusion effect under different Gaussian noise.

open access: yes, 2023
Since the positioning accuracy of sensors degrades due to noise and environmental interference when a single sensor is used to localize a suspended rare-earth permanent magnetically levitated train, a multi-sensor information fusion method using multiple
Yiwei Xu (6651245)   +3 more
core   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata   +14 more
wiley   +1 more source

Fueling Tomorrow: Scenario Planning for the Future of Gas Stations

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa   +2 more
wiley   +1 more source

RMSE results for different Q.

open access: yes, 2023
Since the positioning accuracy of sensors degrades due to noise and environmental interference when a single sensor is used to localize a suspended rare-earth permanent magnetically levitated train, a multi-sensor information fusion method using multiple
Yiwei Xu (6651245)   +3 more
core   +1 more source

Robust Position Control of an Electro‐Hydraulic Actuator via Metaheuristic Optimization of a Fractional‐Order PID Controller

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this study, a robust position control strategy is presented for a two‐stage electro‐hydraulic actuator system using a fractional‐order proportional–integral–derivative (FOPID) controller tuned by Kirchhoff's law algorithm (KLA). Electro‐hydraulic systems exhibit strong nonlinearities, parameter uncertainties, and external disturbances ...
Ridvan Firat Cinar   +8 more
wiley   +1 more source

Fusion results of different sensors.

open access: yes, 2023
Since the positioning accuracy of sensors degrades due to noise and environmental interference when a single sensor is used to localize a suspended rare-earth permanent magnetically levitated train, a multi-sensor information fusion method using multiple
Yiwei Xu (6651245)   +3 more
core   +1 more source

Efficient Harvesting of Irregular and Low‐Frequency Mechanical Energy via Hybridized Electromagnetic‐Triboelectric Systems

open access: yesSmall, EarlyView.
ABSTRACT The rapid expansion of the Internet of Things (IoT) and wearable electronics necessitates sustainable power sources to replace the limited electrochemical battery. While mechanical energy harvesting offers a promising solution, traditional harvesters face challenges of irregular and low−frequency environmental sources. This review presents the
Yongbin Han   +2 more
wiley   +1 more source

Advances and Challenges in Machine Learning‐based Image Analysis for Monitoring and Predicting Organic Crystal Formation

open access: yesAggregate, Volume 7, Issue 6, June 2026.
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma   +8 more
wiley   +1 more source

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