Yixuan Wang

Orcid: 0000-0003-3079-5572

Affiliations:
  • Beihang University, School of Automation Science and Electrical Engineering, Beijing, China


According to our database1, Yixuan Wang authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Event-Triggered Adaptive Fuzzy Output Feedback Tracking Control for Pneumatic Servo System With Input Voltage Saturation and Position Constraint.
IEEE Trans. Ind. Informatics, March, 2024

2023
Transfer Learning Using Cluster Centers for Surface Defect Identification of Piston Rods in Pneumatic Cylinders.
IEEE Trans. Instrum. Meas., 2023

2022
A New Precise High Flow Oxygen Therapy System Based on Sliding Mode Control Strategy.
Complex., 2022

2021
Flow Field Analysis of Adult High-Flow Nasal Cannula Oxygen Therapy.
Complex., 2021

Complex Electrical Stimulation Systems in Motor Function Rehabilitation after Spinal Cord Injury.
Complex., 2021

2020
Predictive control of air-fuel ratio in aircraft engine on fuel-powered unmanned aerial vehicle using fuzzy-RBF neural network.
J. Frankl. Inst., 2020

Metal Roof Fault Diagnosis Method Based on RBF-SVM.
Complex., 2020

Optimization of Fuel Injection Control System of Two-Stroke Aeroengine of UAV.
Complex., 2020

A Novel Method to Evaluate Patient-Ventilator Synchrony during Mechanical Ventilation.
Complex., 2020

2019
Study of Fuel-Controlled Aircraft Engine for Fuel-Powered Unmanned Aerial Vehicle: Energy Conversion Analysis and Optimization.
IEEE Access, 2019

Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing.
IEEE Access, 2019

2018
Theory and Application of Audio-Based Assessment of Cough.
J. Sensors, 2018

Optimization of air-fuel ratio control of fuel-powered UAV engine using adaptive fuzzy-PID.
J. Frankl. Inst., 2018

A new type of wavelet de-noising algorithm for lung sound signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

The Identification of Sputum Situation Based on the Sound from the Respiratory Tract.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018


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