1 citations · 1 across the 5 of their papers we have counts for
5 papers
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles
Ying Shuai Quan, Jian Zhou, Erik Frisk +1
This paper proposes a safety-critical controller for dynamic and uncertain environments, leveraging a robust environment control barrier function (ECBF) to enhance the robustness a…
K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles
Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung
This paper proposes Koopman operator-based Stochastic Model Predictive Control (K-SMPC) for enhanced lateral control of autonomous vehicles. The Koopman operator is a linear map re…
Uncertainty Quantification of Autoencoder-based Koopman Operator
Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung
This paper proposes a method for uncertainty quantification of an autoencoder-based Koopman operator. The main challenge of using the Koopman operator is to design the basis functi…
RNN Controller for Lane-Keeping Systems with Robustness and Safety Verification
Ying Shuai Quan, Jin Sung Kim, Chung Choo Chung
This paper proposes a Recurrent Neural Network (RNN) controller for lane-keeping systems, effectively handling model uncertainties and disturbances. First, quadratic constraints co…
Robust Control for Lane Keeping System Using Linear Parameter Varying Approach with Scheduling Variables Reduction
Ying Shuai Quan, Jin Sung Kim, Chung Choo Chung
This paper presents a robust controller using a Linear Parameter Varying (LPV) model of the lane-keeping system with parameter reduction. Both varying vehicle speed and roll motion…