A method of controlling an engine and a transmission of a vehicle, which is a hybrid vehicle, includes the following steps that are carried out by a controller: determining whether the vehicle is under NCC (Neutral Coasting Control), determining whether an engine RPM reaches an engine RPM control point if it is determined that the NCC is in effect, determining an RPM and a gear stage of a vehicle transmission if it is determined that the engine RPM has reached the engine RPM control point, determining an engine target RPM of the vehicle, determining whether the engine RPM has reached a mild hybrid starter & generator (MHSG) control point, and controlling the MHSG according to a condition if it is determined that the engine RPM has reached the MHSG control point.

A turning control system of a vehicle includes: a database storing road information; a sensor part to detect a steering angle of a vehicle, a wheel speed of the vehicle, whether the vehicle is accelerated, whether the vehicle is braking, and whether a speed gear of the vehicle is shifted; and a controller that determines whether the vehicle enters a turning section based on one or more pieces of the information detected by the sensor part and the road information stored in the database. In particular, when the vehicle is entering the turning section, the controller sets a target speed of the vehicle and controls a speed of the vehicle to be decelerated to the set target speed.

The invention relates to a method for longitudinal control of a motor vehicle, the motor vehicle having an engine and a braking system. The method including receiving a torque demand from a controller for controlling the speed of the vehicle, and providing a torque on the basis of this torque demand, whereby, depending on the value of the torque demand, a brake torque counteracts the torque demand to control longitudinal vehicle movement.

A driving force control apparatus for controlling a driving force to be transmitted to a wheel includes a processor. The processor is configured to set, when the wheel is idled, a control amount of the driving force to be transmitted to the wheel based on a vehicle acceleration.

There is provided a two-wheeled vehicle overturn prevention method, wherein maximum allowable lean angles corresponding to vehicle body velocities are preset in relation to lean angles of a vehicle body, and in a case where an actual lean angle of the vehicle body exceeds a maximum allowable lean angle corresponding to an actual vehicle body velocity of the vehicle body or in a case where an estimated lean angle of the vehicle body after a predetermined amount of time exceeds or looks to exceed a maximum allowable lean angle corresponding to an estimated vehicle body velocity, the two-wheeled vehicle overturn prevention method is adapted to accelerate the vehicle body or keep the vehicle body from decelerating.

A method to control a road vehicle for the execution of a standing start; the control method comprises the steps of: engaging a gear in a transmission while a corresponding clutch is open; progressively closing the clutch causing the clutch to transmit a torque that causes the rotation of at least a pair of drive wheels; determining a target slip of the drive wheels; cyclically determining a real slip of the of the drive wheels; and continuously modulating the torque transmitted by the clutch during the closing of the clutch based of a difference between the target slip of the drive wheels and the real slip of the of the drive wheels.

A moving machine control program causes a computer to execute: acquiring requested external force regarding an actuator; reading out a reference kinetic model that defines moving machine behavior exhibited when the actuator generates external force corresponding to the requested external force; calculating, as requested moving machine behavior, the moving machine behavior exhibited when the actuator generates the external force corresponding to the requested external force, in accordance with the reference kinetic model; measuring actual moving machine behavior during traveling of the moving machine; correcting the requested external force such that the actual moving machine behavior measured in the measuring step approaches the requested moving machine behavior calculated in the calculating step; and controlling the actuator based on the corrected requested external force.

Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.

The present disclosure relates to an on-board control system (200) for operating a vehicle (100, 102, 104), the control system (200) comprising processing circuitry (202) and a plurality of sensors (204, 206, 208) arranged with the vehicle (100). The control system (200) employs e.g. a general vehicle control model (M) for operating the vehicle (100, 102, 104), where the vehicle control model (M) is specifically adapted for the vehicle (100, 102, 104) based on an ongoing operation of the vehicle (100, 102, 104). The present disclosure also relates to a corresponding computer implemented method and to a computer program product.

A device for controlling, in real time, the trajectory of an autonomous vehicle includes a control module which produces, in real time, from a state vector at each point in time, a first steering command in order to stabilize the trajectory of the vehicle relative to a vehicle path. The device includes an anticipation module which generates a variable representative of a meta-vector of deviations for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time and of the state vector at the current point in time. The control module produces the first steering command by quadratic optimization of a relationship between the generated representative variable and a meta-vector of successive steering commands for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time.