… path planning approach using Model Predictive Control (MPC)… To ensure safety, we model
surrounding vehicles as polygons … making and control problem in that a vehicle is a nonlinear, …

… and control problem with … model predictive control together to do path planning in this article.
Visibility graph method is used to plan global path, while, nonlinear model predictive control …

… nonlinear model predictive control (NMPC) scheme for controlling autonomous robot tracking
referenced paths generated online and to control … model predictive control (MPC) controller …

… Faclone carried out dynamic modeling to autos, … model, designed the nonlinear model
predictive controller and linear time-varying model predictive controller based on this model, and …

… CarSim is software which builds full non-linear models of actual vehicles when parameters
such as dimensions of the vehicle platform, specifications of the engine and tires, and …

… Model Predictive Control could be used in the field of autonomous vehicles. The tasks to
generate a safe and economic path, to re-plan … to generate the global route while the objectives …

… motion planning approach to robot navigation based on nonlinear model predictive control.
In … The proposed approach applies nonlinear increment and difference operators in the entire …

… nonlinearity in vehicle dynamics and nonconvex obstacle avoidance constraints, this paper
formulates the motion planning … interpolation to approach the nonlinear functions of vehicle …

… pathplanning based on Nonlinear Model Predictive Control. The problem was solved using
a unified MPC design with soft constraints at the planning … fidelity nonlinear vehicle model in …

… to control the depth of AUV simultaneously and to have a friendly interaction with the dynamic
path planning method, a nonlinear model predictive control (… tracking control algorithm. …