An evaluation device (10) for an interconnection of at least one first control circuit and one second control circuit for incorporating an interference signal (w), wherein the interconnection comprises at least one first controller (A) for regulating a first control variable (yA) on the basis of a first steering signal (sA) in the first control circuit, and at least one second controller (B) for regulating a second control variable (yB) on the basis of a second steering signal (sB) in the second control circuit, wherein the first steering signal (sA) of the first controller (A) comprises a second output signal (uB) of the second controller (B), comprising an input interface (11) for receiving an interference signal (2), wherein the evaluation device (10) is configured to determine at least one first model steering signal (wA) for the first controller (A) and a second model steering signal (wB) for the second controller (B) based on the interference signal (w), and at least one output interface (12) for incorporating the first model steering signal (wA) in the first steering signal (sA) and the second model steering signal (wB) in the second steering signal (sB) such that the first steering signal (sA) comprises a portion of the interference signal (w) and the second steering signal (sB) comprises a portion of the interference signal (w), in order to take into account the interference signal (w) as a steering signal when regulating a technological process.

A vehicle motor control apparatus includes: a processor configured to determine whether a state of a vehicle is an over-steer state or an under-steer state, to determine a driving control mode or a braking control mode of a motor based on a determination result of the state of the vehicle, to calculate a target yaw moment of based on a tire force by using the over-steer state or the under-steer state, and to determine a motor control amount that follows the target yaw moment; and a storage configured to store data and algorithms driven by the processor.

A device and a method for improving a turning motion of a vehicle may improve turning stability by cooperative control of an electric motor and the electronic controlled suspension (ECS) and improve behavior stability by optimizing a pitch/roll behavior by allowing realization of a target yaw moment required to improve turning characteristic of the vehicle to be reinforced by not only a yaw moment directly generated by a braking torque or a driving torque of the electric motor, but also a yaw moment indirectly generated by a load movement caused by controlling a damping force of the electronic controlled suspension (ECS).

A method for determining a slip angle λ.sub.r of a rear wheel of a single-track motor vehicle for the purpose of traction control of the rear wheel of the single-track motor vehicle by means of a closed loop control Is provided. The slip angle λ.sub.r of the rear wheel is determined as a feedback value of the closed loop using at least one of three model-based steps. A slip angle λ.sub.r1, λ.sub.r2 or λ.sub.r3 is determined by one of the three steps representing the slip angle λ.sub.r or the slip angle λ.sub.r is determined from at least two of the slip angles λ.sub.r1, λ.sub.r2 and λ.sub.r3.

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.

A target vehicle, for example a two-wheeled vehicle, for mounting onto an ADAS (Advanced Driver Assistance System) testing platform is provided. The target vehicle comprises one or more sensors and an actuation assembly comprising an actuator. The sensors are arranged to measure a parameter relating to the dynamics of the target vehicle and may for example comprise accelerometers. The actuation assembly adjusts the tilt of the target vehicle in dependence on the output of the sensor(s), for example by means of a control unit. The tilting of the vehicle during cornering may thus be simulated. The measuring of such a parameter and the adjusting of the tilt may be conducted remotely from the testing platform. The sensor(s), control unit and actuator assembly may be self-contained within the target vehicle. A method of modeling a VRU (Vulnerable Road User) for ADAS testing is also provided.

A control system for controlling a motion of a vehicle to a target driving goal uses a decision-maker configured to determine a sequence of intermediate goals leading to the next target goal by optimizing the motion of the vehicle subject to a first model and tightened driving constraints formed by tightening driving constraints by a safety margin, and uses a motion planner configured to determine a motion trajectory of the vehicle tracking the sequence of intermediate goals by optimizing the motion of the vehicle subject to the second model. The driving constraints include mixed logical inequalities of temporal logic formulae specified by traffic rules to define an area where the temporal logic formulae are satisfied, while the tightened driving constraints shrink the area by the safety margin, which is a function of a difference between the second model and the first model approximating the second model.

Embodiments of the present invention provide a method of controlling a vehicle, comprising predicting a first parameter of a vehicle state at each of a plurality of points in time in dependence on a first parameter of a current vehicle state and a first model associated with the vehicle, predicting a second parameter of the vehicle state at each of the plurality of points in time in dependence on a second parameter of the current vehicle state, the predicted first parameter of the vehicle state and a second model associated with the vehicle, and determining one or more control inputs for the vehicle at each of the points in time in dependence on the predicted first and second parameters of the vehicle state at each of the plurality of points in time and desired first and second parameters of the vehicle state at each of the plurality of points in time.

The subject matter described in this specification is generally directed control architectures for an autonomous vehicle. In one example, a reference trajectory, a set of lateral constraints, and a set of speed constraints are received using a control circuit. The control circuit determines a set of steering commands based at least in part on the reference trajectory and the set of lateral constraints and a set of speed commands based at least in part on the set of speed constraints. The vehicle is navigated, using the control circuit, according to the set of steering commands and the set of speed commands.

A vehicle stability control system and a vehicle stability control method which are capable of more improving lateral stability of a vehicle when the vehicle is turning on a descent inclined road, may enable the vehicle to turn along a turning trace intended by a driver through cooperative control of active front steering (AFS) control and an electronic stability control (ESC) when the vehicle is turning on the descent inclined road.