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.

An embodiment acceleration limit control method includes determining an acceleration limit based on information on a passenger, determining a disturbance torque due to a disturbance, other than a drive source of a vehicle, based on at least a slope, determining a torque limit satisfying the acceleration limit based on the disturbance torque, and determining an output torque to be generated by the drive source based on the torque limit and a driver's requested torque.

A system for controlling a vehicle having an autonomous mode and a semi-autonomous mode includes one or more processors and a memory in communication with the one or more processors. The memory stores a command generating module and a transmission module. The command generating module causes the one or more processors to generate, in response to an input, at least one control signal for controlling the vehicle by an envelope control system. The envelope control system utilizes a common control scheme for both the semi-autonomous mode and the autonomous mode, wherein the input is a driver input when the vehicle is in the semi-autonomous mode and the input is a pseudo-driver input when the vehicle is in the autonomous mode. The transmission module causes the one or more processors to transmit the at least one control signal to a vehicle motion controller, wherein the vehicle motion controller controls the movement of the vehicle.

A vehicle includes a powertrain and a controller. The controller, responsive to a parameter indicative of a grade on which the vehicle is travelling having a value greater than a threshold, and a given accelerator pedal input, commands the powertrain to produce an amount of drive torque for the vehicle that is based on the value.

A vehicle driving force control method is provided. The vehicle driving force control method includes collecting vehicle driving information, estimating speed of a driving system of a vehicle from the collected vehicle driving information and calculating speed difference between measurement speed of the driving system and the estimated speed of the driving system, obtaining torque command rate information from the calculated speed difference, limiting a variation of reference torque command determined according to the vehicle driving information based on the acquired torque command rate information to determine final torque command, and controlling operation of a vehicle driving device according to the final torque command.

Disclosed herein are systems, methods, and computer program products for vehicle path planning. The methods comprise: estimating a current state of a vehicle based on sensor data; generating a control error representing a difference between the estimated current state of the vehicle and a desired state of the vehicle as described by a previously published trajectory; comparing the control error to a threshold value; generating a first plan for the vehicle using an open-loop path planning approach when the control error is below the threshold value or a second plan for the vehicle using a closed-loop path planning approach when the control error is above the threshold value; and causing the vehicle to execute the first or second plan.

Systems and methods for controlling a vehicle are provided. The systems and methods provide a vehicle dynamics model that relates at least one input vehicle dynamics variable to at least one output vehicle dynamics variable. The systems and methods detect a crosswind impacting the vehicle by detecting a disturbance associated with the vehicle dynamics model caused by the crosswind and adapt control of the vehicle based on the detecting the crosswind impacting the vehicle.

The present application discloses a vehicle driving control method, an apparatus, a vehicle, an electronic device and a storage medium, relates to artificial intelligence, automatic driving and intelligent transportation in computer technology. Including: dividing a preset driving time period of a vehicle, to acquire multiple driving time points, successively acquiring driving information at a first time point in adjacent driving time points, acquiring driving information at a second time point in the adjacent driving time points according to the driving information at the first time point and a pre-configured driving control amount, calibrating the driving control amount according to the driving information at the first time point and the driving information at the second time point, and determining a driving path between the adjacent driving time points based on the calibrated driving control amount, and controlling a driving of the vehicle according to the driving path.

A driving assist system for a vehicle includes a sensor disposed at the equipped vehicle and having a field of sensing exterior of the equipped vehicle and forward of the equipped vehicle. A controller includes a processor operable to process data captured by the sensor. The controller, responsive at least in part to an initial speed setting of an adaptive cruise control system of the equipped vehicle, controls acceleration of the equipped vehicle. The controller, responsive at least in part to processing by the processor of data captured by the sensor, determines presence of a target vehicle ahead of the equipped vehicle and determines an acceleration profile to adjust the speed of the vehicle from the current vehicle speed to a target speed. The controller adjusts the acceleration of the equipped vehicle responsive to the acceleration profile, which has smooth transitions between the initial speed setting and the target speed.

The present application discloses a vehicle driving control method, an apparatus, a vehicle, an electronic device and a storage medium, relates to artificial intelligence, automatic driving and intelligent transportation in computer technology. Including: dividing a preset driving time period of a vehicle, to acquire multiple driving time points, successively acquiring driving information at a first time point in adjacent driving time points, acquiring driving information at a second time point in the adjacent driving time points according to the driving information at the first time point and a pre-configured driving control amount, calibrating the driving control amount according to the driving information at the first time point and the driving information at the second time point, and determining a driving path between the adjacent driving time points based on the calibrated driving control amount, and controlling a driving of the vehicle according to the driving path.