… 3.1 Motion control of single AGVs using MPC As aforementioned, motion control is a main
component of autonomous driving. … minimum residual method (GMRES) solver is adopted to …

… predictive control (MPC) is well known for its simplicity and computational efficiency for path
tracking of autonomous vehicles, … We used the publicly available solver IPOPT [31] to solve …

… The aforementioned approaches for motion planning of autonomous vehicles definitely
solve the corresponding problems presented in each literature. However, they are still not …

… for autonomous vehicle (AV) control. Accurate and … Model predictive control (MPC)
technique is a promising … Accordingly, various operation forms or efficient solving algorithms …

… and control separately may affect the performance of autonomous vehicle under complex
driving … considers the local motion planning and control in a combined manner. Firstly, the local …

… automated vehicle, it is hard to devise a cost function to reflect the energy efficiency, comfort,
vehicle … The state lattice algorithm is an improved graph search algorithm that can solve …

… Model Predictive Control (MPC) overcomes this problem, as it is a multi-variable control method
… Achieving a high safety level is also critical for autonomous vehicle systems. This can be …

… To solve these problems, we present a design and … model predictive control (NNMPC), a
method that uses vehicle operation data to construct a neural network model which is efficiently …

… More formally, the controller aims to solve the following minimum time optimal control …
Maczijewski, “Real-time trajectory optimization for autonomous vehicle racing using sequential …

… control strategy: Ultra-local Model Predictive Control (ULMPC). ULMPC represents the
manipulated plant as an affine system and applies predictive control to … programming (QP) solver. …