803 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.

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 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.

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.

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.

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.

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 self-adaptive preset time control method and system for a flexible mechanical arm, and relates to the field of control science and engineering.The self-adaptive preset time control method comprises the steps that a dynamic model of the flexible mechanical arm is built, and a nonlinear system state equation is deduced; constructing a time transformation function and a coordinate transformation function based on the system state equation; a time transformation function and a coordinate transformation function are utilized to construct an adaptive preset time controller, a dead zone compensator is connected to the output end of the controller in series, the ideal input control signal is compensated, and actual control input is obtained and acts on the flexible mechanical arm; a time transformation function is introduced into flexible mechanical arm control, a Lyapunov function and a self-adaptive estimation method are combined, an asymptotic tracking given tracking curve is finally output, global specified transient performance is guaranteed, performance indexes in the aspects of stable time and tracking precision can be pre-distributed offline according to task requirements, and the stability of the flexible mechanical arm is improved. And the method does not depend on an initial state and any design parameters.

The invention belongs to the field of display, and particularly relates to a driving module and a display device.The driving module comprises a data driving unit, selecting units, a polarity partition detecting unit, a voltage adjusting unit and an input control unit, and the selecting units comprise the first selecting unit and the second selecting unit; the first selection unit is connected with the first signal line through a first branch line and a second branch line, the second selection unit is connected with the second signal line through a third branch line and a fourth branch line, the at least one voltage regulation unit is arranged on the fourth branch line, and the input control unit is connected with the polarity partition detection unit. In a polarity symmetry mode, the first branch line and the fourth branch line form a group, the second branch line and the third branch line form a group, and data voltage is alternately output line by line. As the fourth branch line outputs the lowered data voltage, the brightness of the green sub-pixel controlled by the data line connected with the fourth branch line is reduced, the color cast can be improved or eliminated, and the display image quality of the display panel is improved.

The invention provides a quadrotor unmanned aerial vehicle fault-tolerant control method and system considering random disturbance, and belongs to the field of unmanned aerial vehicle flight control. The method comprises the steps that a random control system model fusing Wiener process random disturbance, actuator faults and input saturation is established, a six-degree-of-freedom control problem is decoupled into a position and attitude tracking sub-problem, and an expected attitude angle is inversely solved; applying constraints to the state variables by adopting a mixed constraint strategy fusing a delay state conversion function and nonlinear state dependence mapping; based on a self-adaptive backstepping method control framework, a controller is designed for six-degree-of-freedom sub-channels of the four-rotor unmanned aerial vehicle, and final input control signals of the degree-of-freedom sub-channels are obtained; and constructing a comprehensive Lyapunov function covering six degrees of freedom of the unmanned aerial vehicle, and proving that all signals of a closed-loop system are finally consistent and bounded. According to the invention, multiple complex factors can be coped with synchronously, the flight stability and reliability of the unmanned aerial vehicle in a complex environment are improved, and the method is suitable for multi-scene quadrotor unmanned aerial vehicle control.

The invention provides a closed air supply management method and device of an air suspension system. The method comprises the following steps: in response to a gas supply request from a client to an external load, displaying a first input control for acquiring the type of the external load; under the condition that the first input control collects the target type of the external load, a preset target gas supply standard for the external load is determined according to the target type of the external load; according to the target air supply standard, air is supplied to an external load through the air suspension system; if the gas supply time is within the gas supply time threshold value, the first prompt information is pushed to the client, so that the preset gas supply standard is provided for the external load based on the type of the external load, gas can be supplied to the connected external load in time based on the preset gas supply standard, and the gas supply efficiency is improved. The gas supply requirements of different external loads can be met, and the safety in the gas supply process is guaranteed.

An endoscope with voice control. A data processor for the endoscope obtains voice training data for a specific surgeon, and / or information indicating spoken utterances associated with a surgical procedure for which the endoscope is to be used. Voice utterances signals are received from a surgeon during the surgery. Speech recognition technology decodes the voice utterance signals into commands to control the endoscope, based at least in part on the data obtained from the database, and control commands are issued to implement the decoded voice utterances. Concurrently with the accepting and decoding of voice utterances, the processor accepts and decodes control signals from at least one other input device. The processor issues control commands to components of the endoscope to implement the decoded other input control signals. The voice utterances are accepted, decoded, and executed concurrently with the other input control signals.

An oscillator circuit, a corresponding radar sensor, a vehicle, and an operating method are disclosed. An oscillator includes a tunable resonant circuit having an inductor and a variable capacitor coupled between a first node and a second node, and a set of capacitors selectively coupled between the first node and the second node. An input control node receiving an input control signal is coupled to the variable capacitor and the set of capacitors. The tunable resonant circuit is tunable based on the input control signal. A biasing circuit biases the tunable resonant circuit to generate a variable frequency output signal between the first node and the second node. A voltage divider generates a set of different voltage thresholds, and a set of comparator circuits having hysteresis compares the input control signal with the set of different voltage thresholds to generate a set of control signals. The capacitors in the set of capacitors are selectively coupled between the first node and the second node according to the control signals in the set of control signals.

A surgical system may include a processor configured to obtain an input control data stream associated with a measurement. The input control data stream may be associated with a control loop of the surgical system. The processor may be further configured to determine an importance factor of a condition associated with a patient. The processor may be further configured to generate a response reaction based on the input control data stream and the importance factor of the condition associated with the patient. The processor may be further configured to determine a reaction time between an instant of the input control data stream causes a response reaction to be generated. The processor may be further configured to modify the response reaction based on the generated response reaction.

The embodiment of the invention provides an information processing method and device, equipment and a storage medium. The method comprises the following steps: presenting an interactive interface with a virtual object, wherein the interactive interface comprises an image input control; receiving a first input image via the image input control; in response to the fact that the first input image is determined to be matched with the first interaction scene, first response content for the first input image is provided in the interaction interface, and the first response content is generated by a first processing module corresponding to the first interaction scene. Therefore, according to the embodiment of the invention, the interaction scene matched with the input image can be automatically identified, the adaptability between the generated response content and the input image and the interaction scene of the input image is ensured, and the user experience is improved.

The embodiment of the invention relates to an information input method and device, equipment and a computer readable storage medium. The method provided herein includes: receiving a first input content via a cue input control; in response to the cue word input control being in the first input mode, expanding the cue word input control from the first size to a second size; in the expanded cue word input control, presenting at least one candidate cue word generated based on the first input content; and triggering a first generation request corresponding to a first cue word in response to a received first operation on the first cue word in the at least one candidate cue word. In this way, the input efficiency of the cue word can be improved.

A multi-parameter fusion digital flushing remote monitoring system is characterized in that a central processing unit is electrically connected with an input control module, a flushing temperature control module, a color identification module, an output monitoring module, an output control module and a pressure sensor, and dynamically monitors the input of flushing liquid, the output of waste liquid, the color of the waste liquid and the pressure in a tube cavity; the urine volume, the blood content of waste liquid and the pipe blocking risk in the flushing process are analyzed and calculated; and the central processing unit is configured into a feedback control loop comprising a waste liquid blood content index, flushing liquid flow rate and temperature multi-parameter fusion and multi-mode flushing. The automation level of bladder irrigation is improved, and monitoring loopholes are reduced.

The invention provides a configuration-based table operation and dynamic rendering method. The method comprises the following steps: S1, receiving page structure, component layout and business logic configuration information input in a visual configuration platform by a user; the preset component is added to the canvas area in a dragging mode, structure building of a main page and a pop-up window page is completed based on the attribute configuration interface, the main page comprises a search container, an operation container and a data display container, and the pop-up window page is used for bearing a form input control; through drag-and-drop component layout and attribute configuration, a user can complete building of a main page and a pop-up window page without writing codes. The modularized container design is combined with the visual configuration of the form control, so that business personnel can also participate in page construction, the development period is greatly shortened, low-code or even code-free development is realized, and the dependence on professional developers is effectively reduced.

A robotic system includes a plurality of input control devices configured to be operated by an operator, a display device, and a controller coupled to the plurality of input control devices and the display device. The controller is configured to: determine a dynamic mapping, the dynamic mapping identifying at least a first association, the first association being between a first input control device of the plurality of input control devices and a first function, the first function being of a plurality of functions of a first instrument, the robotic system configured to support the first instrument; cause the display device to display a first user interface element, the first user interface element indicative of the first association; receive input from the first input control device; and cause, based on the dynamic mapping, the first function to be performed by the first instrument.

A shift register unit and a driving method therefor, a gate drive circuit, and a display device, relating to the technical field of display. In the shift register unit, an input control circuit (01) can control the on-off of an input signal end (IN_n) and an input node (Q_n) under the control of a clock signal provided by a first clock end (CKn) and a clock signal provided by a second clock end (CB). An output control circuit (02) can output, by means of an output signal end (OUT_n) and on the basis of the potential of the input node (Q_n) and an enable control signal provided by an enable control end (GEN), a gate drive signal to pixels so as to drive the pixels to emit light. By flexibly setting the clock signals and the enable control signal, the shift register unit outputs the gate drive signal of a P-type transistor and / or an N-type transistor in the matched pixels to the output signal end (OUT_n), and in different time periods, the shift register unit is selectively controlled to output or not output, so that the pixels are locally refreshed, the gate drive signal is reliably reset, good driving flexibility is ensured, and the driving mode is rich.