1147 results about "Input control" patented technology

The invention relates to the technical field of robot control, and discloses a master-slave cooperation-based control method, device, equipment and medium, and the method comprises the steps: collecting a spatial pose, a contact force and a dual-view image, and constructing a multi-modal demonstration data set; executing time alignment and normalization to form a standardized input sequence; action features, force features and visual features are extracted through the action modal coding network, the mechanical modal coding network and the visual coding network; fusing to form a multi-modal tensor sequence, and inputting the multi-modal tensor sequence into a Transform decoder to generate a joint time sequence representation; outputting a training action prediction vector from the joint time sequence representation through an action predictor, constructing a supervision loss function in combination with expert demonstration annotation to update each network, and obtaining an optimization control model; and processing the real-time input control driving execution mechanism based on the optimization control model. According to the method, the control model is trained and optimized through multi-modal sensing and time sequence modeling, the joint control instruction is generated in deployment, and stable execution of a complex interaction task is achieved.

The present invention proposes a control method and system for a module parallel energy storage converter, which relates to the technical field of energy storage converters, collects the state information of the energy storage converter; constructs an initial topology network model according to the connection state information and working state information of all energy storage converters, and synchronizes the working state information of each energy storage converter to the control node corresponding to the energy storage converter in the initial topology network model; constructs an input control function based on the working state information and the PID gain parameter corresponding to each energy storage converter, and embeds the input control function into the control node of the initial topology network model to obtain the topology network model; inputs the real-time working state information of the energy storage converter into the topology network model, generates the regulation state information, and dynamically adjusts the output state of the energy storage converter according to the regulation state information. The present invention helps to improve the operating efficiency and reliability of the energy storage converter.

The invention relates to the technical field of automatic driving, in particular to an automatic driving obstacle intention prediction and avoidance method and system. The method comprises the following steps: acquiring image data and three-dimensional point cloud data in real time, respectively extracting static features and dynamic features, weighting by adopting an attention mechanism, fusing to form a fused feature vector, inputting the fused feature vector into a plurality of independently trained deep learning models, and obtaining a prediction intention by using a model difference weighted fusion output result. The method comprises the following steps of: setting an association constraint of an operation state and input control based on a prediction intention, establishing an avoidance strategy model by taking path length and time cost as double optimization targets, continuously updating input control in a prediction time domain until an optimization target value is iterated to be minimum, outputting a time sequence of an avoidance strategy, and generating a final execution instruction in combination with a real-time operation state. According to the invention, the bottleneck of a traditional system based on static characteristics and preset rules can be broken through, and the road traffic efficiency is obviously optimized while the traffic safety redundancy is improved.

Herein disclosed are systems and methods for providing personalized entertainment to users of a social platform based on user input. In one example, a computer-implemented method comprising: providing a user interface by a social platform to generate personalized entertainment content, the social platform comprising a plurality of user accounts, a user interest system, and a marketplace system, the user interest system comprising one or more modules configured to present a plurality of input controls for generating one or more user interests by the social platform. The method includes receiving user input from a user associated with a user account via the plurality of input controls. The method includes generating a user interest based on the user input, storing the user interest in a database, and displaying the user interest on the social platform.

The invention relates to the technical field of reactive power compensation, and discloses a switching control method and device based on reactive power compensation, and the method comprises the steps: obtaining the capacitance data and switching data of each capacitor branch; calculating power data corresponding to the power system based on a power algorithm; when it is detected that the power system meets the input control condition, calculating a capacity difference value corresponding to each capacitor branch according to the capacitance data and the power data of each capacitor branch; based on a switching strategy, according to the capacity difference value and the switching data, a first target capacitor branch meeting a capacitor switching condition is switched; and when it is detected that the power system meets the removal control condition, based on the switching strategy and according to the switching data, removing the second target capacitor branch meeting the capacitor removal condition. Therefore, the switching control flexibility and the switching control accuracy of the capacitor can be improved, the intelligent uniform switching of the capacitor is realized, the use safety of the capacitor is improved, and the service life of the capacitor is prolonged.

The invention provides a shift register unit, a display driving circuit and a display device. In the shift register unit, an input control circuit can control the potential of an input node under the control of a clock signal; and the output control circuit can output a display driving signal to the pixel through the output signal end based on the potential of the input node and a reset control signal so as to drive the pixel to emit light. Therefore, by flexibly setting the clock signal and the reset control signal, the shift register unit outputs the display driving signal matched with the P-type transistor and / or the N-type transistor in the pixel. Moreover, the output control circuit and the input control circuit are sequentially arranged in the first direction and in the direction close to the pixels, the signal lines connected with the output control circuit and the input control circuit are sequentially arranged in the first direction and in the direction close to the pixels, and the signal lines extend in the second direction intersecting with the first direction. Therefore, the narrow frame design of the display device can be facilitated.

The invention provides an electro-hydraulic servo pump control method and system for controlling hydrogen compression based on fuzzy nerve, and relates to the technical field of hydrogen compression, and the method comprises the steps that the current state of a hydraulic cylinder controlled by an electro-hydraulic servo pump is determined, and an input control variable is obtained; determining an output control variable, establishing a fuzzy control rule, and dividing a basic discourse domain; performing composite defuzzification, and obtaining a corrected weight coefficient through a feedforward neural network; the discrete rule amplitude correction factor and the weight coefficient correction are dynamically optimized and corrected; neural network training is established, a loss function evaluation model is utilized, and hydrogen compression control is achieved through a double-buffering mechanism. Fuzzy PID control is adopted, composite defuzzification is carried out according to the real-time state change of a system in combination with fuzzy logic, a membership function output by the fuzzy PID is divided according to regions, a control signal of a driver is synthesized, and hydrogen compression control is achieved; system output is adjusted according to different working conditions, power loss is reduced, and system control precision is improved.

The invention discloses a hidden false data injection attack detection and security control method for a quad-rotor unmanned aerial vehicle, and belongs to the technical field of information security. The problem that the hidden false data injection attack in the quad-rotor unmanned aerial vehicle system cannot be detected by the existing attack detection method is solved. According to the method, a watermark signal sequence and an auxiliary function are introduced to enable a residual signal to be sensitive to attacks, a residual signal calculation method based on linearization model observability and a parallel Kalman filter is provided, and hidden false data injection attack detection is further carried out on the residual signal. And control input is calculated based on a state estimation result of the parallel Kalman filter, so that safety control of the quad-rotor unmanned aerial vehicle is realized. The method can be applied to hidden false data injection attack detection and security control.

The invention relates to the technical field of computers, and discloses a data analysis method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: displaying a data analysis page; in response to a first question input in an input control of the data analysis page, a first analysis result of the first question is displayed on the data analysis page, and an exploration control is displayed in an area, corresponding to the first analysis result, of the data analysis page; in response to an interaction operation for the exploration control, displaying a visual canvas of the first analysis result on the exploration analysis page to obtain an exploration analysis result of the first analysis result, the visual canvas being used for providing a data processing environment of the first analysis result; and in response to an interaction operation for a return control in the exploration analysis page, displaying an exploration analysis result on the data analysis page. The problem that the accuracy of a data analysis result is low can be solved.

The invention belongs to the field of electronic devices, particularly relates to an anti-SET reinforced phase frequency detector, and aims to solve the problems that the existing SET injection can change the output logic state of a PFD (phase frequency detector), and a post-stage circuit obtains a wrong phase difference indication signal. According to the invention, an output UP signal and an output DOWN signal of a first-stage unit are used as the input of an input control logic, and the input control logic outputs four indication signals; the input of the first output control logic is four indication signals, and the output of the first output control logic is a first conduction control signal; the second-stage unit is used for carrying out rising edge sampling on the UP signal and the DOWN signal respectively and outputting two indication signals; the input of the phase selector is a reference clock signal, a feedback clock signal and two indication signals, the output of the phase selector is the input of the second output control logic, and the second output control logic outputs a second conduction control signal. According to the invention, the output logic state is not changed during SET injection, and a correct phase difference indication signal is obtained at a rear stage.

System, process and device configurations are provided for detecting negative gameplay behavior and gameplay control. A method can include receiving gameplay data for a plurality of players for a game, wherein the gameplay data includes player input controls for the plurality of players. The process may use player input controls to detect negative gameplay behavior, such as a toxic behavior, including but not limited to a team kill, item / equipment trade fraud. Player input controls may be identified and evaluated using a model. Processes can include warning players based on patterns observed by the model and blocking toxic player input controls meant to harm other players. Processes can include determining game function responses of the game to limit outcome of the at least one player input control for the game and controlling output of the game.

The invention relates to the field of terminal control, in particular to a keyboard and mouse crossing method, a communication system and a computer readable storage medium. The method comprises the steps that under the condition that a first cursor of a first input device is displayed on a screen of a first device, the first device monitors a first operation acting on a second input device, the first device is connected with the second input device, the first device is not connected with the first input device, and the first cursor acts on the second input device. The first input device and the second input device are used for inputting a control instruction, and the first operation is used for controlling a cursor action displayed on a screen of the first device; in response to the first operation, the first device controls the first cursor to move out of a screen of the first device, and controls a second cursor of the second input device to be displayed on the screen of the first device. By means of the method, the situation of keyboard and mouse operation conflicts can be effectively reduced, and the user experience can be improved.

The system dynamic parameter real-time estimation method based on the short-time increment comprises the following steps: S1, solving a complex system dynamic model expression with unknown parameters or functions, discretizing a control simulation process of the complex system dynamic model expression, and defining a large step length and a small step length of simulation; s2, selecting a proper one-step optimal prediction model through an autocorrelation function and a partial autocorrelation function of the state variable sequence and a model selection criterion; s3, at the starting moment of each large step length, solving the starting moment of the next large step length and each small step length in the large step length through the one-step optimal prediction model selected in the step S2; s4, acting an input control quantity increment at each small step time in the large step, and measuring a state variable at the starting time of each small step; and S5, calculating unknown parameters of the dynamical model according to the difference between the predicted value and the actual measured value of each small-step state variable. According to the method, the dynamic parameters of the system are estimated through a one-step optimal prediction method, and estimation while control is realized, so that the dynamic parameters of the system can be accurately estimated on the premise that the system is not greatly influenced.

The embodiment of the invention relates to a content generation method and device, equipment, a storage medium and a program product, and relates to the technical field of generative models, large models, large language models, agents, artificial intelligence and the like. The method comprises the steps of displaying a first content generation page in response to a trigger operation acting on a content generation function, and displaying a first description input control and a content generation control in the first content generation page; in response to an input operation on the first description input control, determining content description information; in response to a trigger operation acting on the content generation control, calling a content generation model based on the content description information, and generating target content; in response to a trigger operation acting on the editing control of the target content, displaying an editing page of the target content; and in response to an interaction operation acting on the editing page, editing the target content based on interaction content corresponding to the interaction operation to generate edited target content. Therefore, a secondary editing function is provided, and the generation efficiency and quality of the target content are improved.

Provided is a shift register unit. The shift register unit includes an input circuit, a compensation control circuit, and an output circuit; wherein input circuit coupled to an input signal terminal, an input control terminal, a first power supply terminal, a reference node, and a first node; the compensation control circuit coupled to a first clock signal terminal, the reference node, and the first node; and the output circuit coupled to the first node, a second clock signal terminal, and an output terminal.

The embodiment of the invention relates to an information display method and device, equipment, a storage medium and a program product. The method comprises the following steps: displaying a first input control in a dialogue interface corresponding to a data analysis function; in response to a first input operation on the first input control, displaying first input content corresponding to the first input operation in the dialogue interface; in the dialogue interface, displaying a data analysis execution element corresponding to a processing progress of performing data analysis processing on the first input content; the data analysis execution elements comprise a processing state, analysis process details and a data analysis result; the analysis process details include analysis step description and data analysis execution code. In this way, the comprehensiveness, readability and understandability of related information in the data analysis process are improved, and therefore the data analysis efficiency is improved.

The present disclosure provides a method in a data processing system that includes at least one processor and at least one memory. The at least one memory includes instructions executed by the at least one processor to implement a vehicle overtaking system. The method includes causing a vehicle control system in an ego vehicle to execute at least a portion of an input control sequence, receiving, from a first plurality of sensors coupled to the ego vehicle, lead vehicle data about a lead vehicle, estimating an intention of the lead vehicle based on the lead vehicle data, and causing the vehicle control system to perform a vehicle maneuver based on the intention of the lead vehicle.

The embodiment of the invention provides an electronic device, a self-checking method and equipment. The electronic device comprises a control module, an input control module, a processing module, a response module and a self-checking module. The control module is configured to receive a control signal; the input control module is configured to receive a communication signal and a self-checking excitation signal, and determine to provide the communication signal or the self-checking excitation signal to the processing module according to a control signal; the processing module is configured to process the received communication signal to generate a first processing result, or process the received self-check excitation signal to generate a second processing result; the response module is configured to output a first response signal according to the first processing result or output a second response signal according to the second processing result; and the self-checking module is configured to generate a self-checking excitation signal and monitor the second response signal. The electronic device can realize function self-inspection, so that the testability of the electronic device is improved.

An endoscope having an insertion tube with a distal optical module and a releasable handle. In a semi-robotic embodiment, the handle comprises haptic controllers and a computer configured for steering and / or adjusting physical properties of the insertion tube in response to one or more command inputs from the haptic controllers. The computer may also convert image data received from the optical module into two-dimensional images displayable on a monitor. The endoscope may have inertial measurement units (IMUs) for providing data to the computer for creating a digital three-dimensional image representation of an anatomy model and / or for facilitating handling properties of the endoscope.

A clock distribution network includes an input control circuit and a clock tree. The input control circuit is configured to generate a control input clock signal based on an input clock signal and a low power mode signal. The clock tree is configured to generate an output clock signal by buffering the control input clock signal. When the low power mode signal is enabled, the input control circuit is configured to change a DC level of the control input clock signal.

The invention relates to the field of mechanical engineering, discloses a quick-connection welding control method and system for aluminum alloy pipe fittings, and aims to solve the problems that in the prior art, heat input control is not accurate, the positioning and centering efficiency is low, parameter adjustment lacks self-adaptability, and the multivariable cooperative control capacity is insufficient. The method comprises the following steps: acquiring point cloud data of the end surface of a pipe fitting through three-dimensional scanning, and calculating a six-degree-of-freedom butt joint deviation by adopting an improved iterative nearest point algorithm; a compensation track is generated based on multi-objective optimization, and the six-degree-of-freedom parallel robot is driven to achieve fine adjustment; and after the butt joint deviation is stable, welding is started according to a sectional type current increasing strategy, and the wire feeding and welding speed is dynamically adjusted in combination with fusion depth feedback and visual detection. According to the scheme, high-precision automatic butt joint, stable molten pool control and online defect closed-loop treatment are achieved, the welding quality consistency and the production efficiency are remarkably improved, and the method is suitable for efficient and high-quality connection of various aluminum alloy pipe fittings.

The invention discloses a hybrid precision storage and calculation control circuit based on a Sense-Switch type pFLASH. The hybrid precision storage and calculation control circuit comprises an NOR FLASH type SSpF storage and calculation array, a hybrid precision array controller, a hybrid precision shift adder and an AD module. The NOR FLASH type SSpF storage and calculation array is used for realizing convolution operation; the mixed precision array controller divides the NOR FLASH type SSpF memory calculation array according to the configured calculation precision, and completes input control and output sampling of 4, 8 or 16-bit convolution operation, and 4-bit weight programming and reading; the mixing precision shift adder performs shift addition on the output of the mixing precision array controller according to the sequence and the channel according to the configured calculation precision to obtain a 4, 8 or 16-bit convolution calculation result; the AD module is used for converting current output of the NOR FLASH type SSpF storage array into voltage output and converting an analog signal into a 4-bit digital signal. According to the method, 4, 8 or 16-bit convolution calculation can be realized in parallel, and the calculation precision can be configured.

The invention relates to the technical field of safety reinforcement learning, and discloses a deep Koopman-based robot reinforcement learning safety controller online updating method, which comprises the steps of collecting a trajectory state of random input control in simulation, training a deep Koopman neural network, and obtaining a corresponding lifting function and an evolution matrix; carrying out dimension reduction processing on the model by adopting an intrinsic orthogonal decomposition method to obtain a projection matrix and a new nominal model; carrying out reinforcement learning strategy migration in the real machine, obtaining an observation error according to the nominal model and the current observation state in interaction, and training an online update network to obtain a residual matrix; the nominal model and the residual model are combined to serve as model constraints of model prediction control, and safety control input is obtained. According to the method, the safety controller can be updated online, the reinforcement learning safety guarantee performance is improved, and the method is suitable for complex situations that model differences exist in the process of migrating a reinforcement learning strategy from simulation to a real machine, and disturbed dynamic environments exist in the physical world and the like.

The invention provides an autonomous flight method, device and equipment under multi-sensor fusion positioning, and the method comprises the steps: determining point location information and sampling frequency, carrying out the filtering and consistency processing of sampling data, and obtaining target sampling data; inputting a flight state observation value determined from the target sampling data, the obtained input control quantity and the flight state prediction value into a flight state estimation model, and outputting a state estimation value; inputting the point location information, the state estimation value and the positioning error of the specified sensor into a trained positioning estimation prediction model, and outputting a sensor prediction state and a flight prediction parameter; and if the sensor prediction state meets the flight requirement, the unmanned aerial vehicle is controlled to fly to the next point location according to the flight prediction parameters to execute the flight task. Therefore, under the condition that original sensing hardware and chip computing power of the unmanned aerial vehicle are not improved, it can be ensured that the unmanned aerial vehicle can still keep high performance and stability in the complex environment.

The invention provides a carrier rocket engine stage-switching motor redundancy control system, which is combined with a multi-input instruction redundancy voting method, a voting path software and hardware arbitration method and the like to complete high-reliability carrier rocket engine stage-switching motor control. According to the system, two-out-of-three voting is carried out by using a triple-redundancy input control instruction and interactive heartbeat, software and hardware joint arbitration is carried out on voting results of three modules, and an instruction control channel is determined to complete phase sequence control of the stage conversion winding. The method has strong fault capability, has no single-point failure link, and can ensure the normal operation of the engine conversion motor in the flight process of the carrier rocket.

A method of performing heave compensation on a floating vessel (10), the method comprising: measuring a total heave value (b) of the floating vessel (10); and applying active heave compensation by means of a hoisting heave compensation system (20) and a hydraulic heave compensation system (30) according to a control process (100), wherein the control process (100) comprises: providing a first input control signal (110) to the hydraulic heave compensation system (30) and a second input control signal (120) to the hoisting heave compensation system (20), the first and second input control signals (110,120) comprising at least one of the total heave value (b), a partial heave value (c,e) or a control deviation value (dh,, dhy). Also provided is a heave compensation installation (15) for heave compensation on a floating vessel (10).

The invention relates to the technical field of time schedule controllers, and discloses an on-off control method of a time schedule controller, which comprises the following steps: electrically connecting the time schedule controller to a power supply, and starting the time schedule controller through an ON / OFF key to enable the time schedule controller to be in a standby state; then receiving a control mode selected by a user and input control parameters; then, a corresponding injection molding signal input mode is determined according to the type of an injection molding machine, and a proper output voltage form is selected according to the type of an electromagnetic valve; and finally, after an injection molding signal sent by the injection molding machine is received, the time sequence controller automatically controls opening and closing of the pouring gate based on the selected control mode and parameters. Particularly, the time schedule controller collects environment temperature data in real time based on a temperature sensor, and dynamically adjusts the frequency of a clock crystal oscillator to compensate clock drift, so that the stability and accuracy of on-off control of the time schedule controller are ensured.

The invention belongs to the technical field of display terminal fault diagnosis, and particularly relates to a display terminal full life cycle fault intelligent diagnosis system, which receives fault phenomenon description of a display terminal, retrieves a signal input end control object set associated with a fault phenomenon, and performs targeted detection on each control object in the set. Generating an original detection data set, carrying out instantaneous abnormal point elimination, obtaining an effective fault feature set carrying a potential fault identifier, fusing the effective fault feature set with a historical fault contribution degree weight, obtaining the fault reason confidence of each control object, judging the association strength of a fault mode of each control object and an environment factor through a preset environment association rule, and determining the fault mode of each control object according to the association strength. And generating an environment sensitivity evaluation label, binding the environment sensitivity evaluation label with the fault cause confidence coefficient, and revealing a coupling mechanism of fault root causes and environment inducements to output a fault positioning diagnosis report, thereby avoiding insufficient fault positioning granularity caused by complete machine generalization detection, and providing a more comprehensive basis for fault disposal.

The embodiment of the invention relates to the field of ultrasonic sensors, and discloses a signal transmitting device, module and equipment for ultrasonic fingerprint identification. The signal transmitting device for ultrasonic fingerprint identification comprises a booster circuit, a control circuit, an oscillating circuit and an ultrasonic transducer, the boosting circuit is used for boosting the power supply voltage into a first voltage according to an input boosting clock; the first voltage is the power supply voltage of the control circuit; the control circuit is used for driving the oscillating circuit to generate a second voltage according to an input control signal; the ultrasonic transducer is used for generating an ultrasonic signal according to the second voltage; and the boost circuit is also used for controlling the input of the boost clock according to the edge detection result of the control signal. Therefore, stepped water ripples with light and shade changes in the fingerprint identification process are avoided. And the accuracy of fingerprint identification is improved.

The invention provides a control method and device for an excavator hydraulic system, electronic equipment and a medium, and the method comprises the steps: training a neural network model based on parameter information in the operation process of a target excavator, and obtaining a trained target excavator hydraulic system model; the target excavator hydraulic system model is used for fitting a target hydraulic system parameter relation from an input control signal of a target excavator hydraulic system to the excavator joint speed; the real-time joint expected speed of the target excavator is obtained; based on the target excavator hydraulic system model, converting the real-time joint expected speed into a real-time input control signal for determining the target excavator hydraulic system; and on the basis of the real-time input control signal, the hydraulic system of the target excavator is controlled to operate, so that the excavator hydraulic system parameter relation meeting the precision requirement can be automatically fitted, the fitting precision is high, the parameter identification work is little, and the control precision is high.