24results about How to "Reduce update frequency" patented technology

The invention provides a detachable high-adaptation conductive adhesive test seat and adaptation equipment thereof, and relates to the technical field of chip tests.The test seat comprises a base, a bottom plate and a connecting frame, two connecting blocks are arranged in the base, the opposite faces of the two connecting blocks are fixedly connected with fixing blocks, the base is internally provided with a test seat, and the test seat is fixedly connected with the bottom plate. The control system determines corresponding clamping parameters including the stroke of the air cylinder, the clamping force and the like according to the type and the specification of the chip, the control system sends out an instruction to drive the air cylinder to start acting, a piston rod of the air cylinder stretches out and drives the clamping block to move towards the chip, and the clamping block accurately clamps the chip according to the preset position and force. According to the automatic chip testing device, the chips are ensured to be stable in the testing process, so that automatic adaptive fixation of different chips is realized, the identification and adjustment processes can be quickly completed through automatic identification and adaptive functions after the chips are put into the device, the manual intervention time is greatly shortened, and the overall automation degree and the testing efficiency are improved.

The invention belongs to the technical field of multi-agent formation control, and particularly relates to a multi-agent formation control method of a finite time event trigger control strategy. Comprising the following steps: constructing a network communication topological graph of the multi-agent system; establishing an agent position state model under an event triggering mechanism according to the communication topological graph; setting a target position of the intelligent agent; and designing a control law and an event triggering condition of a controller according to the target position, sampling the position state of the intelligent agent by using a finite time formation control algorithm under an event triggering mechanism, and realizing formation control of the intelligent agent arriving at the target position within finite time. According to the method disclosed by the invention, a large amount of communication resources can be saved, the system can converge in finite time, the flexibility is higher, and the method is more in line with engineering practice.

The invention discloses a control method for a light source type medical beauty product with constant energy output. Aiming at the problem that the later performance of the existing light source type medical beauty product is reduced due to fixed power output and light attenuation characteristics, the initial light source rated power PRATED is calibrated through a built-in light source light attenuation curve characteristic table. When a product works, the accumulated working time of the light source is recorded in real time, the corresponding light attenuation coefficient k is searched, and a new duty ratio signal is calculated according to the light attenuation coefficient k and PRATED to adjust power drive, so that the energy output of the target light source is maintained. The invention has the advantages of effectively overcoming the influence of light attenuation, controlling the output fluctuation of light source energy in an extremely small range in a long-time use process through experimental verification, ensuring the stable performance of the product in the whole life cycle, continuously providing a stable beauty effect and improving the user experience, and has important application value in the field of medical beauty.

The present invention discloses a spacecraft formation attitude cooperative control method based on event triggering, comprising: establishing a spacecraft formation system attitude dynamics model considering external disturbance and model uncertainty; setting cooperative error auxiliary variables according to attitude and angular velocity information of formation spacecraft and communication relationship between formation spacecraft; setting measurement error variables according to cooperative error auxiliary variables; determining event-triggered attitude cooperative control law and event triggering conditions according to cooperative error auxiliary variables and measurement error variables; controlling the attitude and angular velocity of formation spacecraft according to the event-triggered attitude cooperative control law, and judging whether the event triggering conditions are met, if so, updating the event-triggered attitude cooperative control law corresponding to the formation spacecraft, and sending the state information of the formation spacecraft to adjacent formation spacecraft. The present invention can significantly save the energy, communication and computing resources of the formation system while ensuring that the formation system has good control performance.

The invention discloses a distributed fixed time robust formation trajectory tracking control method for a heterogeneous cluster system, and belongs to the technical field of formation control, and the method comprises the following steps: S1, building kinematics and dynamics models of a six-degree-of-freedom four-rotor unmanned plane and kinematics and dynamics models of a three-degree-of-freedom unmanned ship; s2, determining a formation tracking error and a speed tracking error of the air-sea heterogeneous cluster system; s3, generating an error conversion function; s4, determining a fixed time robust virtual control law and a distributed fixed time robust controller; s5, determining a distributed fixed time robust controller under the dynamic time triggering mechanism; and S6, completing trajectory tracking control. On the basis of dynamic event triggering, the distributed fixed-time robust H-infinity formation control method based on dynamic event triggering is determined, the updating frequency of the controller is reduced, and communication resources are saved.

The utility model belongs to the technical field of engines, and particularly relates to a crankcase cover and an engine, the crankcase cover comprises a crankcase cover body, the lower portion of the crankcase cover body is provided with a protrusion extending laterally, the protrusion and the crankcase cover body form a containing cavity for storing engine oil, by arranging the protrusion, the containing space of the lower portion of a crankcase is increased, and more engine oil can be stored; the engine oil updating frequency is reduced; for an engine adopting splash lubrication, engine oil is driven to splash to all components for lubrication through rotation of the crank, so that when the crank rotates to the lowest point, the crank needs to be lower than the liquid level of the engine oil, compared with the mode that the protrusion is arranged at the lower end of the crankcase, the overall height of the crankcase cannot be increased, and the liquid level of the engine oil descends slowly; and the engine oil updating frequency is low.

The invention provides a micro-grid fixed time dynamic event trigger control method based on an observer, and belongs to the technical field of micro-grid operation control. The control method comprises the following steps: judging whether the voltage and frequency of primary droop control of a power control variable of an ith DG unit in the time-delay island micro-grid deviate from reference values or not, if so, performing secondary control, and if not, performing secondary droop control; by designing a voltage recovery variable, a frequency recovery variable and an active power recovery variable of micro-grid fixed time dynamic event trigger control based on an observer, the output voltage and the output frequency of a distributed generator are recovered to reference values within convergence time. According to the optimization method, the fixed-time dynamic event triggering observer with the confidence factor observes the transmission delay state, the adverse effect of delay on the control performance is limited, operation of each DG unit in the micro-grid is coordinated, the control performance of the micro-grid is guaranteed, and the stability of the system is improved.

The application relates to a knowledge base synchronization method, system and computer readable medium for space-based semantic communication, the knowledge base synchronization method comprising: initializing a general semantic knowledge base; in a first communication stage, training the general semantic knowledge base according to a first quantity of communication data to obtain a first semantic knowledge base, and transmitting the first semantic knowledge base to a sending end node and a receiving end node; judging whether the semantic knowledge base of the receiving end node needs to be updated, if the semantic knowledge base of the receiving end node needs to be updated, updating the semantic knowledge base of the receiving end node according to the first data transmitted by the sending end node to obtain a synchronized first communication semantic knowledge base; and the sending end node and the receiving end node communicating according to the synchronized first communication semantic knowledge base. The application can reduce the semantic knowledge base updating frequency of both communication parties in a satellite communication system, and save the time and bandwidth resources required for semantic knowledge base synchronization.

The application belongs to the technical field of robot control, and particularly relates to a multi-robot arm preset performance event trigger predefinition time control method. In the preset performance control framework, the application fuses a predefinition time stability theory, designs a fixed time performance function, and eliminates strict constraints of initial errors of traditional preset performance control. A predefinition time command filter is used to replace analytical derivation of a virtual control signal in a traditional backstepping method, so as to avoid a 'complexity explosion' problem and ensure that filter errors converge within an accurately set time. A dynamic event trigger mechanism is introduced, a trigger threshold is adaptively adjusted, the update frequency of a controller and the consumption of communication resources are significantly reduced while the control performance is ensured, and RBF neural networks are used to perform online estimation on unknown functions of the system, so that effective control is realized on a non-strict feedback system in combination with an error compensation mechanism.

The invention provides an MAC address configuration method and device for EPA network equipment, the method and device are applied to a control module in the EPA network equipment, the EPA network equipment further comprises a communication interface and a baseboard management controller BMC, and the method comprises the following steps: receiving MAC configuration data; the MAC configuration data is data obtained by configuration under the condition that the MAC address in the EPA network equipment does not meet the network access demand condition; and sending the MAC configuration data to the BMC through the communication interface, so that the BMC writes the MAC configuration data into the network interface module, and replacing the MAC address, which does not meet the network access demand condition, of the EPA network equipment through the target MAC address in the MAC configuration data. The EPA network equipment can quickly adapt to different network environments and security policies, and does not need to depend on BMC software of a specific version, so that the flexibility and response speed of the EPA network equipment are remarkably improved.

The invention discloses an intelligent optimal control method for a networked system, and the method comprises the steps: S1, building a dynamic model of an uncertain strict feedback nonlinear system, and defining an event triggering mechanism based on a relative threshold value; s2, performing online approximation on an unknown nonlinear function in the system by adopting a radial basis function neural network; s3, based on a backstepping method, defining a coordinate transformation error variable, and designing a virtual control law and a parameter adaptive law for the intermediate subsystem; s4, based on the event triggering mechanism and the Lyapunov stability theory, an actual control law and an inverse optimal control law are designed, and a relation exists between the inverse optimal control law and the actual control law; and S5, executing event trigger control according to the actual control law and the event trigger mechanism, and applying the control signal meeting the inverse optimality to the controlled object to realize closed-loop stable control. According to the invention, the problems of signal discontinuity, system uncertainty and network resource limitation can be solved.

This application discloses a method and apparatus for edge location detection, a self-moving device, a storage medium, and a program product. The edge location detection method includes: performing at least one region update operation during the movement of the self-moving device to update the target region; if a target region update is detected, updating the target map information to the attribute information of each first location point; if, based on the target map information, it is determined that among the multiple first location points, at least one target location point's height information conforms to a preset height range, determining the edge location based on at least one target location point. This method can reduce the storage space occupied by the self-moving device's map storage during edge location identification.

The invention discloses a two-degree-of-freedom helicopter predefined time fault-tolerant tracking control method, which comprises the following steps of: establishing a two-degree-of-freedom helicopter dynamical model containing external disturbance and actuator faults, constraining a system state by constructing a time-varying Barrier Lyapunov function, and fusing optimization control based on reinforcement learning into backstepping control, so that the two-degree-of-freedom helicopter is subjected to time-varying fault-tolerant tracking control. The method comprises the steps of designing an optimal virtual controller, designing an optimal tracking controller by adopting a control method based on a mixed zero-sum game theory aiming at an actuator fault and composite disturbance, and relieving communication burden by adopting a dual-channel event triggering mechanism comprising a controller-actuator and a sensor-controller. The controller designed by the invention can ensure that all signals of the whole two-degree-of-freedom helicopter are bounded within the preset time, and ensure that the two-degree-of-freedom helicopter can still quickly and accurately track a reference trajectory within the preset time under the constraint of actuator faults and states.

The present invention discloses a financial report processing method and device, the method comprising: firstly dividing the report to be processed into corresponding type list sets according to the type; then determining the execution list set including the priority according to the number of lists in each type list set, the type list set corresponding to the least number of lists is the execution list set of the first priority; then calculating each execution list set in turn based on the priority and adding the settlement result to the asynchronous calculation result table; finally, updating the data result table corresponding to the report to be processed based on the asynchronous calculation result table to complete the processing of the report, which can improve the efficiency of processing the report and reduce the update frequency and resource occupancy rate when processing the report.

The application provides a rainfall isoline generation method and system based on a new parameter optimization support vector machine regression, a medium electronic device, and the like, and includes the following steps: constructing a support vector machine regression model based on a Laplacian kernel, a Gaussian kernel, and a Sigmoid kernel, respectively; performing parameter optimization training on the support vector machine regression models based on the Gaussian kernel, the Laplacian kernel, and the Sigmoid kernel, respectively, to obtain an optimized corresponding parameter combination; updating the support vector machine regression models based on the Gaussian kernel, the Laplacian kernel, and the Sigmoid kernel according to the optimized corresponding parameter combination, respectively, to obtain an optimal model, then inputting point data to be interpolated, performing optimal model interpolation, obtaining an interpolation result of a corresponding point to be interpolated, and then outputting the interpolation result and an isoline map, and saving an optimal parameter and an error of a corresponding interpolation point. The application enhances the representation ability of nonlinear mapping, and improves the model expansibility and robustness.

The invention relates to the technical field of active noise control, in particular to a sound quality active control variable step size method based on auditory time coherence. The method comprises the following steps: firstly, initializing, and clearing all buffer areas and counting units; then, generating a preset estimation response signal from the preset signal through the estimation secondary path; then, the content of the buffer area is updated, the oldest data is removed, newest noise and error signal data are added, meanwhile, cyclic shift is carried out on a preset signal and an estimation response thereof, and a counting unit value is increased. Then, the noise passes through a filter to obtain a filter output, and the filter output and a preset signal are added to form a control output. And when the counting reaches a specified number of times, calculating auditory time coherence by using the error signal and the preset estimation response, adjusting a step length factor according to the auditory time coherence, then subtracting the error signal from the preset estimation response signal to obtain a residual signal, and finally updating the weight of the filter by using a new step length factor and the residual signal. According to the method, the step length is dynamically adjusted through hearing time coherence between the error signal and the preset estimation response signal from hearing subjective feeling of people, so that the error signal is gradually close to the preset estimation response signal. Different from a traditional method for pursuing the minimum sound energy, the method enables the quality of the processed sound to be controllable by controlling the error signal to approach the preset signal.

The invention provides spinning equipment for forging and forming a wheel, which comprises a base, a rotary shaft, a rotary shaft, a rotary shaft, a rotary shaft, a rotary shaft and a rotary shaft, and is characterized in that a mounting groove is formed in the upper part; a driving mechanism; a first mold is rotatably mounted on the driving mechanism; a jacking mechanism; a second mold is rotatably mounted on the jacking mechanism; the axes of the first mold and the second mold are collinear; the jacking mechanism drives the second mold to move in the axis direction of the first mold. A spinning mechanism; the spinning mechanism is located on the side faces of the driving mechanism and the jacking mechanism. Comprising a first linear motion module, a second linear motion module, a mounting seat and two compression rollers, the equipment adopts a combined design of a driving mechanism, a jacking mechanism and a spinning mechanism. Through two-way adjustment of the first linear motion module and the second linear motion module, the pressing roller can apply uniform pressure to a wheel blank according to requirements, the problems of uneven surface and uneven material distribution are effectively avoided, and the wheel forming precision and the surface quality are improved.

This invention relates to a distributed formation control method for unmanned aerial vehicles (UAVs) based on an event-driven strategy, comprising the following steps: Step 1: Acquire UAV data and establish a UAV system; the UAV system includes a lead UAV and follower UAVs; Step 2: Acquire formation data from the UAV system, input it into the UAV formation control system, and determine whether an event-driven condition is triggered; if not triggered, the UAV system maintains its initial state and executes Step 2; if triggered, execute Step 3; Step 3: The UAV formation controller updates, and the UAV system performs local information interaction to change the distribution state of the UAVs. Compared with existing technologies, this invention effectively avoids the dependence of the controller and triggering conditions on global information, achieves scale-free UAV formation, and is applicable to situations such as changes in the number of individual UAVs and switching of inter-UAV connection relationships.

The embodiment of the invention provides a vehicle positioning method, electronic equipment and a vehicle. The method comprises the steps that vehicle positioning data, vehicle environment information and road-level map data are acquired; determining the initial position of the vehicle according to the vehicle positioning data; determining real-time road data according to the vehicle environment information; matching the real-time road data with the road-level map data, and determining a position correction parameter; and correcting the initial position of the vehicle based on the position correction parameter, and determining the target position of the vehicle. The method gets rid of dependence on an external base station, solves the problem that a sensing device cannot obtain effective lane information, reduces the dependence on map precision, and can achieve the accurate positioning of a vehicle at high efficiency and low cost.

The present disclosure relates to an image updating method and device, an electronic device, and a storage medium. The method comprises: in response to a target window being in a display state in an extended reality environment, obtaining pose data of an extended reality device; determining whether a new background image frame is rendered in a current image updating period based on the pose data of the extended reality device; the background image frame is an image frame used to create the extended reality environment; if it is determined that the new background image frame is not rendered in the current image updating period, determining a target background image frame based on a background image frame last rendered until the current time; and displaying the target background image frame in a screen of the extended reality device. This can limit unnecessary updating of the background image frame, reduce the updating frequency of the background image frame, and in turn reduce the consumption of hardware resources for rendering the background image frame and the probability of performance problems such as delay and frame drop of the extended reality device.

The utility model discloses a VR head-mounted display optical calibration jig, which relates to the technical field of calibration test jigs and comprises a base, a head-mounted display limiting assembly and a shooting assembly. The head-mounted display limiting assembly is detachably mounted on the base, the head-mounted display limiting assembly comprises a first limiting module and a second limiting module, and the first limiting module and the second limiting module enclose to form a mounting space for accommodating a VR head-mounted display; the shooting assembly comprises a camera module, the camera module is movably connected to the base and located in the installation space, and the camera module faces the first limiting module to shoot the VR head-mounted display.

The present invention discloses a knowledge transfer method based on conditional cascade distillation, wherein a cloud server constructs a model and sends it to several terminal devices; each terminal device collects training data and inputs it into the sent model for iterative training to obtain a trained terminal device model, and the terminal device updates and uploads the trained terminal device model to the cloud server; cascade distillation allows each terminal device model to absorb the knowledge of the cloud model; the cloud server receives several terminal device model updates and aggregates and optimizes communication through a weighted aggregation algorithm, and sends the optimized global model to the terminal device; the terminal device collects data to be detected and inputs it into the optimized global model to obtain a detection result. The present invention not only improves the generalization ability of the model, but also significantly reduces the communication cost in the process of model updating, and realizes the generation of a global model with better performance through collaborative multi-party training under the premise of protecting the privacy of terminal device data.

The application relates to the technical field of deep learning, and particularly discloses a road foreign matter detection method and system, an electronic device and a storage medium, the method comprising the following steps: acquiring a to-be-detected image containing a target road area, and extracting a long-time background image and a short-time background image corresponding to the to-be-detected image; obtaining a road foreign matter detection result of the to-be-detected image according to the to-be-detected image, the long-time background image and the short-time background image, and by using a trained road foreign matter detection model; wherein the road foreign matter detection model comprises a convolutional neural network for extracting image prior information and a target detection network for road foreign matter detection. The application combines long-time and short-time backgrounds of road images and prior information to perform road foreign matter detection, avoids the problem of low precision caused by collecting a large number of sample images of road abnormal objects, and improves the accuracy of road foreign matter detection while adapting to road foreign matter detection in different complex environment scenarios.

The application discloses a spacecraft formation event-triggered attitude coordination control method considering communication time delay, comprising the following steps: according to the communication topology structure of a spacecraft formation system, an attitude dynamics model of the spacecraft formation is established, which can consider external disturbance, model uncertainty and communication time delay; based on the attitude dynamics model, a nonlinear observer is constructed, which can observe the collective nonlinear term of the spacecraft formation system; based on the nonlinear observer, an event-triggered attitude coordination control law and an event-triggering mechanism are designed; according to the event-triggered attitude coordination control law, the attitude and angular velocity of the formation spacecraft are controlled, and according to the event-triggering mechanism, it is determined whether the corresponding event-triggered attitude coordination control law of the formation spacecraft needs to be updated and whether the state information of the formation spacecraft needs to be sent to the adjacent formation spacecraft. The application can consider the influence of disturbance, uncertainty and communication time delay, save the energy, communication and computing resources of the system while ensuring good control performance.