A method and apparatus for determining information are provided. An implementation of the method includes: acquiring a reference vehicle speed and an actual vehicle speed of an autonomous driving vehicle; determining feedback information based on the reference vehicle speed and the actual vehicle speed; determining vehicle speed control information based on the feedback information and disturbance observation information, where the disturbance observation information is used to indicate a disturbance quantity currently experienced by the autonomous driving vehicle; and determining target disturbance information based on vehicle speed information, the disturbance observation information and a preset estimation model.

To control a hybrid dynamical system, a predictive feedback controller formulates a mixed-integer nonlinear programming (MINLP) problem including nonlinear functions of continuous optimization variables representing the continuous elements of the operation of the hybrid dynamical system and/or one or multiple linear functions of integer optimization variables representing the discrete elements of the operation of the hybrid dynamical system. The MINLP problem is formulated into a separable format ensuring that the discrete elements of the operation are present only in the linear functions of the MINLP problem. The MINLP problem is solved over multiple iterations using a partial convexification of a portion of a space of the solution including a current solution guess. The partial convexification produces a convex approximation of the nonlinear functions of the MINLP without approximating the linear functions of the MINLP to produce a partially convexified MINLP.

Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

A control device that may be a control device of a hybrid vehicle. The hybrid vehicle including an engine; an electric generator configured to generate electric power by operation of the engine; a battery configured to store the electric power; a traction motor configured to operate by the electric power stored in the battery; and a throttle valve configured to adjust an amount of air to be supplied to the engine. The control device is configured to estimate torque of the engine based on an output current value of the electric generator. The control device is configured to estimate an actual aperture of the throttle valve based on the estimated torque and revolution speed of the engine. The control device is configured to perform feedback control so that the aperture of the throttle valve is adjusted to the target aperture based on the estimated actual aperture.

A vehicle control apparatus is disclosed. The vehicle control apparatus includes a distance sensor configured to sense a distance from a speed bump, a speed sensor configured to sense a speed of a vehicle, a vehicle driver configured to control an operation of a brake or an operation of an accelerator, and a processor configured to provide an input parameter comprising a speed and a weight of the vehicle to a prediction model and control the vehicle driver so that the brake is operated at a braking intensity outputted from the prediction model when the vehicle enters the speed bump on the basis of the distance from the speed bump.

Provided are a travel control device, a vehicle, a driving assistance device, and a travel control method that are capable of improving travel control responsiveness. The travel control device comprises: an automatic travel control unit that, when an automatic travel function is active for vehicle travel control, performs a process for calculating and outputting a target output torque for an engine installed in the vehicle through feedback calculation based on the difference between a target value for a control parameter related to the automatic travel function and the actual value of the control parameter; and an engine control unit that controls the engine such that the outputted target output torque and the output torque of the engine match.

Systems and methods are disclosed for reducing second order dynamics delays in a control subsystem (e.g. throttle, braking, or steering) in an autonomous driving vehicle (ADV) and increasing control system bandwidth by accounting for time-latency in a control subsystem actuation system. A control input is received from an ADV's autonomous driving system. The control input is translated into a control command of the control subsystem of the ADV. A reference actuation output and a predicted actuation output are generated corresponding to a by-wire (“real”) actuation action for the control subsystem. A control error is determined between the reference actuation action and the by-wire actuation action. A predicted control error is determined between the predicted actuation action and the between the by-wire actuation action. Adaptive gains are determined and applied to the by-wire actuation action to generate a second by-wire actuation action.

A method detects unintended acceleration of a motor vehicle during a closed-loop speed control mode by determining external forces on the vehicle via a controller, and then calculating a desired acceleration using a measured vehicle speed and the external forces. The method includes determining an actual acceleration of the vehicle, including filtering a speed signal as a first actual acceleration value and/or measuring a second actual acceleration value using an inertial measurement unit (IMU). During the speed control mode, the method includes calculating an acceleration delta value as a difference between the desired acceleration and the actual acceleration, and then using the acceleration delta value to detect the unintended acceleration during the speed control mode. A powertrain system for the motor vehicle, e.g., an electric vehicle, includes the controller and one or more torque generating devices coupled to road wheels of the vehicle.

A vehicle control system includes: a turning device that turns a wheel of a vehicle; a steering sensor that detects a driver's steering operation; and a control device configured to execute automated turning control that controls the turning device to automatically turn the wheel, independently of the driver's steering operation. A modification desire degree represents a degree to which the driver's steering operation modifies vehicle travel caused by the automated turning control. During execution of the automated turning control, the control device calculates the modification desire degree based on a result of detection by the steering sensor. When the modification desire degree exceeds a threshold, the control device executes system suppression processing without terminating the automated turning control. In the system suppression processing, the control device weakens the automated turning control as compared to a case where the modification desire degree is equal to or lower than the threshold.

A vehicle control system (30) for controlling a behavior control device (20) that controls a behavior of a vehicle (1), comprising: a feed-forward computing unit (71) that computes a feed forward control amount of the behavior control device according to a steering angle of the vehicle; a feedback computing unit (72) that computes a feedback control amount of the behavior control device according to a difference between a target vehicle state amount computed from the steering angle and an actual vehicle state amount; a correcting unit (73) that computes a corrected feed-forward control amount by correcting the feed forward control amount according to the feedback control amount; and a target control amount computing unit (74) that computes a target control amount of the behavior control device according to the feedback control amount and the corrected feed forward control amount.