Koopman operator-based model identification and control for automated driving vehicle
This paper proposes the Koopman operator-based model identification and control method
for a lane-keeping system. The Koopman operator is a linear mapping that can capture …
for a lane-keeping system. The Koopman operator is a linear mapping that can capture …
Game-Theoretic Shared Control Strategy for Cooperative Collision Avoidance Under Extreme Conditions
Driver-automation cooperative driving has recently been proved to be a promising approach
to enhance driving safety in common or even relatively complex traffic scenarios. However …
to enhance driving safety in common or even relatively complex traffic scenarios. However …
Robust Learning-based Model Predictive Control for Intelligent Vehicles with Unknown Dynamics and Unbounded Disturbances
Autonomous driving is producing various novel achievements in integrating different control
technologies with machine learning to control intelligent vehicles, ie, learning-based control …
technologies with machine learning to control intelligent vehicles, ie, learning-based control …
Optimal control of a MEMS gyroscope based on the Koopman theory
Microelectromechanical (MEMS) gyroscopes are small devices used in different industries
such as automotive and robotics systems due to their small size and low costs. The MEMS …
such as automotive and robotics systems due to their small size and low costs. The MEMS …
Human-centered driving authority allocation for driver-automation shared control: A two-layer game-theoretic approach
Shared control system (SCS) has become an effective approach to enhance driving safety
and improve traffic flow efficiency, but desire the SCS to be accepted by the public requires a …
and improve traffic flow efficiency, but desire the SCS to be accepted by the public requires a …
Koopman Operators in Robot Learning
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging
as a powerful modeling and learning-based control method enabling significant …
as a powerful modeling and learning-based control method enabling significant …
Emergency supplies transportation robot trajectory tracking control based on Koopman and improved event‐triggered model predictive control
Y Zhang, M Tang, H Zhang, B An, Y Yan… - … Journal of Robust …, 2023 - Wiley Online Library
In the emergency rescue and disposal of social public emergencies, supply transportation
effectively provides a strong supply foundation and realistic conditions. The trajectory …
effectively provides a strong supply foundation and realistic conditions. The trajectory …
Trajectory Tracking Control of Emergency Supplies Transportation Robot Based on Koopman Operator and ESO-ET-MPC
Y Zhang, M Tang, H Zhang, W Wang… - … and Systems (ICCAS …, 2023 - ieeexplore.ieee.org
The transportation of emergency supplies is of great significance in ensuring national
security and responding to sudden disasters. The trajectory tracking control of emergency …
security and responding to sudden disasters. The trajectory tracking control of emergency …
Track System Dynamic Analysis by the Riccati Multibody System Transfer Matrix Method
Y Miao, X Rui, P Wang, J Zhang - International Conference on Mechanical …, 2023 - Springer
The track systems are an important part of the tracked vehicle dynamics modeling. The
Riccati Multibody System Transfer Matrix Method (RMSTMM) is adopted to model the …
Riccati Multibody System Transfer Matrix Method (RMSTMM) is adopted to model the …