Abstract: A control method is provided for controlling a lateral position of a motor vehicle. The control method includes calculating a sighting distance of a detector means embedded in the vehicle, calculating a first component of a steering angle setpoint of a steered wheels of the vehicle, and calculating a second component of the steering angle setpoint. The first component is an open loop component of a control system, while the second component is a closed loop component of the control system. The first component is weighted by a gain that is a decreasing function of the sighting distance.

Abstract: A control method is provided for controlling a lateral position of a motor vehicle. The control method includes calculating a sighting distance of a detector means embedded in the vehicle, calculating a first component of a steering angle setpoint of a steered wheels of the vehicle, and calculating a second component of the steering angle setpoint. The first component is an open loop component of a control system, while the second component is a closed loop component of the control system. The first component is weighted by a gain that is a decreasing function of the sighting distance.

Abstract: A method for setting an anticipator module with which a control device controls the trajectory of a motor vehicle is equipped includes detecting whether the anticipator module is unsuitable during a turn by taking account of a lateral deviation with respect to an ideal trajectory and/or a contribution of a feedback module of the control device, determining primary parameters, calculating a secondary parameter by an optimization-based calculation method taking account of the determined primary parameters, and updating a bicycle model of the vehicle by taking account of the calculated secondary parameter.

Abstract: A method for implementing a closed loop of an advanced driving aid device for the lateral control of a motor vehicle includes synthesizing a controller of the closed loop by solving an optimization problem based on a bicycle model of the vehicle. A family of at least two bicycle models of the vehicle is established, these models having, with respect to one another, at least one dispersion chosen from among a dispersion of mass of the vehicle, a dispersion of drift rigidity on a drivetrain of the vehicle, a dispersion of the center of gravity of the vehicle, and a dispersion of the position of the matrix of inertia of the vehicle, the optimization problem being solved on the basis of all models of the family.