Abstract: A hydraulic fracturing pump system may include a hydraulic fracturing pump, a gaseous fuel engine configured to drive the hydraulic fracturing pump, a slip device selectively coupling the hydraulic fracturing pump with the gaseous fuel engine, a gear system mechanically coupled to the hydraulic fracturing pump between the hydraulic fracturing pump and the slip device, and a controller. The controller may be configured to cause, in connection with a pressure test for a hydraulic fracturing system that includes the hydraulic fracturing pump system, a slip engagement of the slip device to control an output torque to, and a discharge pressure of, the hydraulic fracturing pump.

Abstract: A hydraulic fracturing pump system may include a hydraulic fracturing pump, a gaseous fuel engine configured to drive the hydraulic fracturing pump, a slip device selectively coupling the hydraulic fracturing pump with the gaseous fuel engine, a gear system mechanically coupled to the hydraulic fracturing pump between the hydraulic fracturing pump and the slip device, and a controller. The controller may be configured to cause, in connection with a pressure test for a hydraulic fracturing system that includes the hydraulic fracturing pump system, a slip engagement of the slip device to control an output torque to, and a discharge pressure of, the hydraulic fracturing pump.

Abstract: A computer-implemented method for designing a state controller with stochastic optimization. The method aims to solve the optimization problem in the presence of static and time-variant uncertainties by using the decomposition and optimization steps to determine the component of the state controller feedback matrix.

Abstract: A method for determining system excitations for system identification is disclosed. The method includes (i) receiving a system model, a plurality of system excitations, and a parameter library that comprises at least one parameter to be identified, (ii) determining a plurality of output variables based on the plurality of system excitations and the at least one parameter to be identified using the system model, (iii) determining a plurality of grade measures of the determined plurality of output variables with respect to the at least one parameter to be identified, and (iv) selecting system excitations for system identification based on the determined plurality of grade measures.

Abstract: A computer-implemented method for determining representative parameterized simulation models of a parameterizable analytical simulation model for a product, in particular a steer-by-wire steering system and/or a steering system for highly automated driving, is disclosed. The method includes determining a predetermined number of parameterized simulation models based on a dissimilarity metric, wherein the dissimilarity metric defines a distance between two respective parameterized simulation models, and wherein a plurality of representative parameterized simulation models results.

Abstract: A computer-implemented method for determining representative parameterized simulation models of a parameterizable simulation model for a product, in particular a steer-by-wire steering system and/or a steering system for highly automated driving, is disclosed. The method includes (i) calculating a dissimilarity metric based on a pair of a plurality of pairs of parameterized simulation models, respectively, wherein each pair results in a distance, thereby resulting in a plurality of distances, optionally wherein the dissimilarity metric is based on a gap metric, a v-gap metric and/or an L2 metric, and (ii) selecting a predetermined number of the parameterized simulation models based on the plurality of distances, wherein a plurality of representative parameterized simulation models results.

Abstract: A method for estimating latency in a network distributed system with at least one sensor, a control unit, and an actuator for actuating on a technical system includes (i) determining a sensor latency between the sensor and the control unit based on sensor time information, (ii) estimating an actuator latency between the control unit and the actuator, (iii) providing multiple control functions each concerning a different estimated total latency, wherein the estimated total latency includes the sensor latency, the actuator latency and a control latency, (iv) providing a latency correction term based on a comparison between the estimated total latency and a measured total latency, (v) calculating a corrected total latency by using (adding) the latency correction term, available at the time of the estimation, to the total latency, (vi) selecting and executing a control function from the multiple control functions for which the corrected total latency lies within a latency range of this control function and calcul

Abstract: A computer-implemented method for evaluating uncertain timing effects when controlling distributed systems with respect to one or more control variables. The method includes calculating a next time step in a simulation of an intrusive surrogate model for a mean value of a dynamic model, a mean value of an output of the dynamic model being calculated, wherein the dynamic model is designed to calculate the one or more control variables as the output; and calculating the next time step in a simulation of an intrusive surrogate model for a deviation, including a variance, of the dynamic model from the mean value of the dynamic model, wherein a deviation, in particular the variance, of the output of the dynamic model is calculated; wherein the control of the distributed systems depends on at least a first uncertain timing effect, which is represented in the dynamic model by a first uncertain parameter.

Abstract: A method is for providing an adjustable distributed system. The method includes determining at least one characteristic of a wireless communication between at least two components of the distributed system, and adjusting at least one parameter of a control function of one of the at least two components and/or at least one communication parameter of the wireless communication based on the determined at least one characteristic. The method further includes providing the distributed system based on the adjusted at least one parameter of the control function and/or the adjusted communication parameter.

Abstract: A method for generating a complexity-reduced time model of a distributed system. The method includes receiving time data, receiving a control path model and modeling the received time data as a stochastic process in order to obtain an original stochastic process. The method furthermore includes decomposing the original stochastic process into a plurality of modes of the original stochastic process, in order to obtain an approximation of the original stochastic process. The method includes performing a sensitivity analysis using the control path model and the approximation. The method furthermore includes selecting a first subset of modes of the approximation on the basis of the comparison and/or a default value, and outputting a complexity-reduced time model on the basis of the first subset of the modes.

Abstract: A method for controlling a distributed system with at least one sensor, a control unit, and an actuator. The method includes: providing, at the actuator, multiple control inputs generated for different assumed sensor to actuator latencies; determining, by a computing unit of the actuator, an actual latency, by comparing time information of the receipt of sensor data at the actuator and time information of the sensor data; and selecting, by the computing unit of the actuator, the control input from the multiple control inputs which respective assumed latency corresponds to the actual latency or is closest to it.

Abstract: A locking glad hand device includes a glad hand coupler that is removably attachable to a glad hand fitting on a tail end of an air brake line. A locking pin is movably disposed on the glad handle coupler which engages a respective wing on the glad hand fitting thereby inhibiting the glad hand coupler from being tampered with and potentially disabling the air brake system of the tractor trailer. A lock is rotatably disposed on the glad hand coupler. The lock engages the locking pin when the locking pin is urged into a locking condition and the lock is rotated into a locking position thereby locking the glad hand coupler to the glad hand fitting. Conversely, the lock disengages the locking pin when the lock is rotated into an unlocking position thereby facilitating the locking pin to be biased into the releasing condition.

Abstract: A method for determining system excitation by at least one input signal for model-based control of a technical system includes (i) providing the at least one input signal, wherein the at least one input signal physically affects at least one parameter of the technical system, (ii) defining at least one distribution assumption for the at least one parameter, (iii) defining a target function for optimizing the at least one input signal taking into account the at least one defined distribution assumption, the target function optimizing the at least one input signal at least based on a weighting of a sensitivity of the input signal, (iv) determining a numerical algorithm for solving the defined target function and an uncertainty quantification method for determining the sensitivity of the at least one input signal, (v) optimizing the defined target function based on the determined numerical algorithm and the determined uncertainty quantification method, and (vi) determining the system excitation based on the opti

Abstract: A computer-implemented method for moving a first mobile object at a traffic node includes determining a state of the first mobile object including a position, a velocity, or an acceleration of the first mobile object, and receiving a trajectory of a state of a second mobile object at the traffic node. The method further includes determining a constraint for the state of the first mobile object based on the received trajectory of the state of the second mobile object, and determining a trajectory of the state of the first mobile object based on the state of the first mobile object using a model configured to predict the trajectory of the state of the first mobile object based on (i) a trajectory of a driving signal for moving the first mobile object, and (ii) the state of the first mobile object.

Abstract: A computer-implemented method for designing a state controller with stochastic optimization. The method includes receiving a state space model for describing a system to be controlled, wherein the state space model comprises a system matrix, a state vector which contains one or more state variables, an input matrix, and an input variable vector, wherein the input variable vector is based on the state vector and a feedback matrix which describes the state controller, and the one or more state variables are described on the basis of one or more probability distributions. The method further includes describing an optimization problem which includes a cost function which is calculated at least using the system matrix, the feedback matrix, an initial state, and the input matrix, and solving the optimization problem in order to determine the entries of the feedback matrix.

Abstract: An aqueous cannabinoid product including surfactant, preservative, acidulant, and cosurfactant. Most commonly cannabidiol is the cannabinoid product in the aqueous product. The cosurfactant used is typically a phytochemical product which reduces the particle size of the aqueous cannabinoid emulsion.

Abstract: An applicator having an upper cap with a base having a first tubular member and a feed tube, a free end of which extends from the base, and an opposite end adapted to engage a container valve such as an aerosol can. The applicator includes a lower cap having a second tubular member adapted to be removably attached to the container. The upper cap is attached to the lower cap such that the first tubular member is slidably inserted into the second tubular member. The upper cap is movable relative to the lower cap from a first position, in which the feed tube free end is disengaged with the valve, and a second position, in which the opposite end of the feed tube is engaged with the container valve and pushes it to an engaged position such that container contents are released through the feed tube.

Abstract: An oral airway includes a tubular body having a first end and a second end, and defining a first portion of an air flow channel, and a leg extending outwardly from the first end of the body, the leg defining a second portion of the air flow channel.