11results about How to "Reduce update frequency" patented technology

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 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 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.

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 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.