Ying Shuai Quan

Orcid: 0000-0001-5035-4542

According to our database1, Ying Shuai Quan authored at least 13 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles.
CoRR, 2024

2023
Safety Tunnel-Based Model Predictive Path-Planning Controller With Potential Functions for Emergency Navigation.
IEEE Trans. Intell. Transp. Syst., April, 2023

Tube-Based Control Barrier Function With Integral Quadratic Constraints for Unknown Input Delay.
IEEE Control. Syst. Lett., 2023

K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles.
CoRR, 2023

Uncertainty Quantification of Autoencoder-based Koopman Operator.
CoRR, 2023

RNN Controller for Lane-Keeping Systems with Robustness and Safety Verification.
CoRR, 2023

2022
Linear Parameter Varying Models-Based Gain-Scheduling Control for Lane Keeping System With Parameter Reduction.
IEEE Trans. Intell. Transp. Syst., 2022

Vehicle Localization Using Convolutional Neural Networks with IMM-EKF for Automated Vertical Parking.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Adaptive Cruise Control with Motion Sickness Reduction: Data-driven Human Model and Model Predictive Control Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Robust Model Predictive Control for Adaptive Cruise Control with Model Uncertainties.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Robust Control for Lane Keeping System Using Linear Parameter Varying Approach with Scheduling Variables Reduction.
CoRR, 2021

2020
Multi-Model Recurrent Neural Network Control for Lane Change Systems under Speed Variation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Approximate Model Predictive Control with Recurrent Neural Network for Autonomous Driving Vehicles.
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019


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