Results 31 to 40 of about 4,520,326 (251)

Data-Driven Virtual Flow Rate Sensor Development for Leakage Monitoring at the Cradle Bearing in an Axial Piston Pump

open access: yesEnergies, 2022
The leakage of the tribological contact in axial piston pumps significantly impacts the pump efficiency. Leakage observations can be used to optimize the pump design and monitor the behavior of the tribological contact.
Minxing Liu   +3 more
doaj   +1 more source

Mitigating output DC current ripple in a three-phase current source rectifier using an optimized space vector modulation

open access: yesHo Chi Minh City Open University Journal of Science - Engineering and Technology
The mitigation of output DC ripple in three-phase current source rectifiers represents a significant design challenge, directly impacting the quality of the delivered power. To address this issue, this paper introduces a novel control framework based on
Minh Hoang Nguyen   +2 more
doaj   +1 more source

Power Factor Control Method Based on Virtual Capacitors for Three-Phase Matrix Rectifiers

open access: yesIEEE Access, 2019
This paper proposes a novel input power factor control method based on a concept of virtual capacitors to provide unity input power factor for three-phase matrix rectifiers. The proposed algorithm introduces, at the input terminal of the matrix rectifier,
Jae-Chang Kim   +2 more
doaj   +1 more source

Next-to-leading order corrections to deeply virtual production of pseudoscalar mesons

open access: yesPhysics Letters B, 2017
We complete the perturbative next-to-leading order corrections to the hard scattering amplitudes of deeply virtual meson leptoproduction processes at leading twist-two level by presenting the results for the production of flavor singlet pseudoscalar ...
G. Duplančić   +2 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

Parameters Adjustment Optimization for Prepreg of Copper Clad Laminate Based on Virtual Metrology

open access: yesApplied Sciences, 2020
In this research, virtual metrology models, which can estimate the quality characteristics based on the given manufacturing parameters, were developed by lasso regression and support vector regression.
Yiyo Kuo, Ssu-Han Chen
doaj   +1 more source

The switching decomposition pulse width modulation with reduced common mode voltage for reduced switch counts neutral point clamped inverter

open access: yesIET Power Electronics, 2023
Compared with a conventional three‐levelconverter, a reduced switch counts three‐level neutral point clamped (RSC‐3LNPC) inverter uses only 10 switching devices to achieve three‐leveloutput at a lower cost.
Mengmeng Jing   +4 more
doaj   +1 more source

Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems

open access: yesEnergies, 2021
This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems.
Ibrahim Farouk Bouguenna   +3 more
doaj   +1 more source

Vector Fall 2016 [PDF]

open access: yes, 2016
Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy