Electronics with a DCC adaptive filter for attenuating noise in a feedback path of a flow controller are provided. The electronics include a signal processor configured to receive a flow signal from a flow sensor, the flow sensor is configured to measure a flow rate of a pulsating fluid flow, receive a constant reference signal, and generate a flow rate signal using the constant reference signal and the flow signal. The electronics also include a controller communicatively coupled to the signal processor, which is configured to generate a flow rate control signal using the flow rate signal. The electronics additionally include a signal generator communicatively coupled to the controller. The signal generator is configured to receive the flow rate control signal, generate a valve signal based on the flow rate control signal, and provide the valve signal to a valve to control the flow rate of the pulsating flow.

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

A plant or refinery may include equipment such as condensers, regenerators, distillation columns, rotating equipment, compressors, pumps, turbines, or the like. Different operating methods may impact deterioration in equipment condition, thereby prolonging equipment life, extending production operating time, or providing other benefits. Mechanical or digital sensors may be used for monitoring equipment to determine whether problems are developing. For example, sensors may be used in conjunction with one or more system components to perform invariant mapping, monitor system operating characteristics, and/or predict pressure, volume, surges, reactor loop fouling, gas quality, or the like. An operating condition (e.g., of one or more pieces of equipment in the plant or refinery) may be adjusted to prolong equipment life or avoid equipment failure.

A computer-enabled system, method, and medium provides intellectual property analyses, for example, patent claim charts, respective to the analyzed intellectual property and a target product or other intellectual property. Analyses are stored to enable searching/reporting across multiple analyses. Units of the analysis are associated with context, inherited, e.g., from the intellectual property document's assignment to a relative role within the organizational hierarchy; and associated with a context derived from the analysis itself. The analysis and respective documents and/or targets of the analysis can be searched/retrieved/analyzed from the hierarchical analysis, the context analysis, and/or the content of the analysis. Each analysis need not be stored as a separate document. The representation of the analysis may by static or dynamic. The target or annotations may be visually represented by an item such as a thumbnail or hyperlink, and the system associates the item with the appropriate application program.

A method for determining oscillations occurring in a measuring signal. The method includes the steps of receiving a measuring signal, determining the extreme values of the received measuring signal, and ascertaining closed loops of the measuring signal, by a) identifying a closed loop in the measuring signal (a closed loop being formed by two half loops having identical oscillation width and opposite direction, b) storing the identified closed loop, c) removing the identified closed loop from the measuring signal, and d) repeating steps a) through c) until all closed loops have been ascertained.

A test system for testing a specimen include (a) a set of actuators for applying a desired time history of load to a specimen, (b) a drive unit connected to each actuator, (c) power generating elements (current/pneumatic/hydraulic) and (d) a controller connected to the drive units, the controller generates a drive signal for the drive unit based on feedback received from output of the specimen and an error derived from the feedback and an input command. The controller generates the drive signal by compensating varying system parameters which are introduced due to nonlinear response of the test system and the specimen, wherein the controller does not require (i) additional measured variable other than a feedback received from the specimen and (ii) a numerical model of the test system and the specimen.

A control system (1) for controlling a plant (2) comprises a feedback loop including an integrator (7); a signal generator (32); and a scaling unit (10). The feedback loop comprises an input suitable for connection to an output (18) of the plant. The integrator integrates a signal received from the input to generate a state signal x. The signal generator generates a periodic base perturbation signal (34) with an initial amplitude. The scaling unit generates a scaling factor (30) having a first value if the variance of the state signal var(x) is zero, or a second value if the variance of the state signal is non-zero, wherein the second value is proportional to (formulae 1) The scaling unit is arranged to multiply (16) the initial amplitude of the periodic base perturbation signal by the scaling factor to produce a state dependent perturbation signal (35, 36), which is applied to an input of the plant.

The present disclosure provides a method and system for optimizing a control process. The method and system comprise using a sensor to generate a feedback signal that represents a measured performance index for an extremum seeking control (ESC) method and sending the feedback signal to an ESC conditioning circuit that applies a logarithmic transformation to the feedback signal to obtain a modified feedback signal. An ESC controller applies the modified feedback signal to the ESC method to generate an output value that is used to control an actuator to maximize the performance of a machine or process.

In order to carry out largely automated parameterisation of the closed-loop control parameters for closed-loop control of a hydraulic system comprising a servo drive, a method and a device for determining the closed-loop parameters of a closed-loop control unit of the hydraulic system are specified, wherein an actual system pressure of a hydraulic consumer of the hydraulic system is closed-loop controlled by means of a predefined set point rotational speed of a servo drive, wherein an actual rotational speed of the servo drive follows the predefined set point rotational speed, wherein an excitation signal is applied to the setpoint rotational speed, and the actual system pressure which is set here is measured, the dynamics of the hydraulic system are acquired from the actual rotational speed and/or the setpoint rotational speed and the actual system pressure, and the closed-loop control parameters are calculated from the acquired dynamics.

A method for inducing a covert misclassification performed on a non-transitory computer readable medium, the method includes identifying a target position. The method further includes creating a spectral perturbation tensor. The spectral perturbation tensor is configured to shift a projection of an initial spectrum towards the target position. Additionally, the method includes combining the spectral perturbation tensor to the initial spectrum. Further, the method includes classifying the combination of the spectral perturbation tensor and the initial spectrum with an established classifier, thereby designing the spectral perturbation tensor such that the combination is misclassified.