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:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles.
CoRR, 2024
Proceedings of the American Control Conference, 2024
Proceedings of the American Control Conference, 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
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