Abstract: An example method of generating a neural network control policy for a vehicle includes obtaining a performance objective parameter associated with a control system of a vehicle, obtaining a policy optimizing algorithm corresponding to the performance objective parameter, defining a system state space, a control action space, and a disturbance space, each associated with the control system, generating a neural network control policy, based on the system state space, the control action space, and the disturbance space, wherein the neural network control policy has a non-linear H-infinity robustness guarantee, and automatically controlling at least one vehicle component according to the neural network control policy.

Abstract: An example method of generating a neural network control policy for a vehicle includes obtaining a performance objective parameter associated with a control system of a vehicle, obtaining a policy optimizing algorithm corresponding to the performance objective parameter, defining a system state space, a control action space, and a disturbance space, each associated with the control system, generating a neural network control policy, based on the system state space, the control action space, and the disturbance space, wherein the neural network control policy has a non-linear H-infinity robustness guarantee, and automatically controlling at least one vehicle component according to the neural network control policy.

Abstract: A method of operating an autonomous racetrack driver coach and demonstrator in an autonomous vehicle employing operating systems for propulsion and maneuvering includes identifying a road course and mapping a velocity profile and a trajectory for the vehicle via a remote configurator. The trajectory defines a vehicle path around the road course and with the velocity profile minimizes the vehicle's lap time. The method also includes determining a presence of a human passenger/operator in the vehicle. The method additionally includes determining, via an electronic controller in communication with a remote detection source, localization of the vehicle on the road course. The method also includes determining vehicle velocity, acceleration, and heading relative to the mapped trajectory.

Abstract: A method of operating an autonomous racetrack driver coach and demonstrator in an autonomous vehicle employing operating systems for propulsion and maneuvering includes identifying a road course and mapping a velocity profile and a trajectory for the vehicle via a remote configurator. The trajectory defines a vehicle path around the road course and with the velocity profile minimizes the vehicle's lap time. The method also includes determining a presence of a human passenger/operator in the vehicle. The method additionally includes determining, via an electronic controller in communication with a remote detection source, localization of the vehicle on the road course. The method also includes determining vehicle velocity, acceleration, and heading relative to the mapped trajectory.

Abstract: Technical solutions are described for estimating tire-road friction in a vehicle pro-actively, prior to safety systems of the vehicle are engaged. An example method includes computing a slip for the vehicle based on one or more wheel speeds, acceleration, and tire pressure measurement. The method further includes determining a slope (?) as indicator of tire-road friction for the vehicle based on the acceleration and the slip. Further, the method includes sending the slope to an autonomous controller of the vehicle for adjusting vehicle kinematics according to the estimated friction using the slope.

Abstract: Technical solutions are described for estimating tire-road friction in a vehicle pro-actively, prior to safety systems of the vehicle are engaged. An example method includes computing a slip for the vehicle based on one or more wheel speeds, acceleration, and tire pressure measurement. The method further includes determining a slope (?) as indicator of tire-road friction for the vehicle based on the acceleration and the slip. Further, the method includes sending the slope to an autonomous controller of the vehicle for adjusting vehicle kinematics according to the estimated friction using the slope.

Abstract: A negative stiffness apparatus includes a fluid filled bellows interposed between a first surface and a second surface wherein the bellows and the first and second surfaces have an orientation of substantial equilibrium between the first and second surfaces. The bellows and the first and second surfaces include other orientations wherein the first and second surfaces are displaced from the orientation of substantial equilibrium and the bellows exerts a displacement force to urge the first and second surfaces further away from the orientation of substantial equilibrium.

Abstract: A negative stiffness apparatus includes a fluid filled bellows interposed between a first surface and a second surface wherein the bellows and the first and second surfaces have an orientation of substantial equilibrium between the first and second surfaces.