91 results about "Time lag" patented technology

To provide a program production system that measures a delay time of a video image with respect to audio and auxiliary data by a simple method so as to realize synchronization among the video image, the audio and the auxiliary data generated at the same time.SOLUTION: The video time difference calculating unit 11 - 1 of the video delay measuring apparatus 2 extracts the time stamp V1 from the video RTP packet VTS1 and generates the video RTP packet V2 including the timing information. The video RTP packet V2 is transmitted to the video delay time difference measuring path. A video time difference calculation section 11-1 extracts a time stamp V3 from a video RTP packet VTS2 to obtain a video time difference VT. The audio time difference calculator 11-2 obtains the audio time difference ST, and the ancillary data time difference calculator 11 - 3 obtains the ancillary data time difference AT. The delay time calculating unit 13 subtracts the audio time difference ST from the video time difference VT to obtain the audio delay time SD, and subtracts the ancillary data time difference AT from the video time difference VT to obtain the ancillary data delay time AD.SELECTED DRAWING: Figure 5

The invention discloses a high-order multi-agent system control method with unknown input time lag and quantization, which comprises the following steps: S1) under the condition of unknown time-varying time lag and input quantization, carrying out system description on an uncertain high-order multi-agent system and introducing a lag uniform quantizer; s2) converting an uncertain high-order multi-agent system tracking control problem with unknown time-varying time-lag and input quantization into a bounded problem of a differential equation solution with time-lag; s3) constructing a dominant expression of the system and feasibility conditions for realizing bounded tracking according to the bounded problem of the time delay differential equation; and S4) performing control design according to a dominant expression of the system and bounded tracking feasibility conditions. The invention designs an adaptive finite time dynamic surface control scheme for a high-order multi-agent system with unknown input delay. Meanwhile, the finite time stability theorem is utilized to prove that all signals in the closed-loop system are semi-globally practical and stable in finite time.

The system according to this embodiment aims to eliminate the time lag between offline and online operations through logistics optimization and demand forecasting. [Solution] The system according to the embodiment comprises a logistics analysis unit, a delivery route selection unit, a demand forecasting unit, an inventory management unit, and a recommendation unit. The logistics analysis unit analyzes each process of logistics. The delivery route selection unit selects a delivery route based on the information analyzed by the logistics analysis unit. The demand forecasting unit analyzes the user's purchase history or behavioral data. The inventory management unit manages inventory based on the forecast results obtained by the demand forecasting unit. The recommendation unit analyzes the user's behavioral data and suggests products.

The invention discloses an island micro-grid load frequency stability control method considering communication time lag and a virtual inertia link, and the method comprises the steps: firstly building an island micro-grid load frequency control model containing the virtual inertia link, then constructing a Lyapunov functional on the basis, carrying out the derivation of the constructed functional, and carrying out the calculation of the load frequency stability of the island micro-grid. Derivative integral terms are defined by means of a generalized free-weight integral inequality, then a time-delay correlation stability criterion based on a linear matrix inequality is obtained, then the linear matrix inequality under different PI parameter conditions is solved, a maximum allowable time-delay upper limit (MDSM) for ensuring system stability is obtained, the time-delay upper limit is improved, system conservative property is reduced, and the stability of the system is improved. On the basis of the prior art, the robustness of the system is further improved, and the system has a larger stable operation area.

The application provides a multi-dimensional diagnosis method for seepage state of porous media based on dynamic evolution of lag time, and belongs to the field of dam safety monitoring; solves the problems of strong hysteresis, many interferences and poor applicability of existing dam seepage monitoring; the method comprises the following steps: obtaining long sequence reservoir water level and piezometric tube water head monitoring data of a target porous medium and preprocessing; calculating the reference memory duration of the lag response of the piezometric tube water head to the reservoir water level fluctuation, and establishing a normal state baseline; extracting a dynamic lag time sequence; calculating the scaling index sequence of each piezometric tube water level sequence as a memory persistence index; calculating the transfer entropy of the reservoir water level to the piezometric tube water head as a hydraulic information transmission strength index; establishing a reservoir water level-lag response time function in a reference period, stripping the geometric effect, extracting the net medium effect, establishing a multi-dimensional joint criterion, determining the seepage state of the target porous medium and dividing the degradation grade; and the application is applied to dam seepage diagnosis.

The present application belongs to the technical field of power system, and particularly relates to a time-delay power system stability analysis method and system. The method firstly establishes a load frequency control system model including time delay and nonlinear load disturbance, wherein the nonlinear load disturbance is a nonlinear disturbance taking unknown exogenous load disturbance as current and delayed state variable; then an augmented Lyapunov-Krasovskii functional is constructed, and an analysis method based on time-delay dependent matrix free matrix integral inequality and anti-convex combination inequality is adopted to analyze the stability of the load frequency control system, so as to obtain the stability criterion of the load frequency control system. The present application plays an important role in improving the calculation accuracy and time delay upper limit, and is helpful to expand the stable operation area of the power system.

This invention aims to optimize the input sequence of actuators with significant time delays in marine vehicles (such as variable buoyancy hydraulic pumps and valves, and slow-response actuators like rudders). Under complex sea conditions and model uncertainties, this method achieves rapid and stable attainment of the target operational state with minimal action cost, while simultaneously satisfying safety and lifespan constraints. The method disclosed in this invention uses a parameter identification model as the prediction kernel, incorporating terminal task deviation, the number of execution actions and non-zero duration, and the safety volume boundary into a multi-objective cost function. It employs an improved LM algorithm with adaptive damping for sequence-level optimization and rolling updates, thereby overcoming the shortcomings of conventional closed-loop compensation and pure gradient methods in terms of slow convergence, oscillation, and difficulty in balancing safety and wear on time-delayed objects. This significantly improves convergence speed, control accuracy, and reliability, while reducing energy consumption and mechanical wear.

The application relates to the technical field of ring network cabinets, and discloses a ring network cabinet intelligent monitoring and self-recovery control method and system based on edge computing, which comprises the following steps: collecting voltage data, current data and environmental temperature data on the edge side; when the voltage data or the current data changes in value, a time delay compensation observation window is established; the voltage data, the current data and the environmental temperature data are matched and verified to determine whether a synchronization constraint condition is met; when it is determined that the synchronization constraint condition is not met, the environmental temperature data is time-series shifted based on a time difference value; when it is determined that the synchronization constraint condition is met, the environmental temperature data is time-series shifted based on a time delay coefficient; synchronized sensing data is obtained, and a self-recovery control instruction is generated; and the time difference value is integrated into a historical time delay sequence, and the time delay coefficient is updated. The application reflects the real lag characteristics of environmental quantities on electrical changes, and improves the reliability of operation state judgment.

The application discloses a kind of active suspension system model parameter adaptive calibration test bench test method and system, belong to vehicle active suspension test technical field, sensitive system parameters are filtered out by sensitivity analysis function, then sensitive system parameters are identified and calibrated, greatly reduce the amount of calculation in calibration process, improve the test implementation efficiency;Through time delay boundary calculation, the time delay feedback coefficient and time delay are optimized, the optimal time delay feedback coefficient and optimal time delay are obtained, and through adaptive adjustment, time delay compensation calibration is carried out using Smith prediction compensation model, which significantly improves the adaptive ability and compensation accuracy of time-varying time delay;In addition, standard test signals are applied to the target active suspension test bench test system, and time domain response data are collected to determine the tolerance according to the time domain response data to complete the parameter adaptive calibration of the active suspension system dynamics model.

The application discloses a stability analysis method of a load frequency control system considering participation of an electric vehicle, constructs a new Lyapunov functional based on a time delay interval, establishes different sub-functionals in different time delay intervals, and integrates a time delay product type item to capture more time delay information; and then by combining the proposed functional with a zero equation method, the application discards a mode of using a single and fixed functional in the whole time delay interval in the traditional way, reduces the conservativeness of a criterion, and obtains a maximum time delay margin, so as to provide less conservative stability analysis and control design basis for the load frequency control system containing the electric vehicle.

An image pickup apparatus capable of suppressing a time lag until photographing is provided. The image pickup apparatus includes an image sensor including a plurality of pixels, and at least one processor or circuit and a memory storing instructions to cause the at least one processor or circuit to perform operations of a setting unit that sets first photographing conditions in accordance with user's instructions, a detecting unit that detects a characteristic region based on pixel information obtained from the plurality of pixels, and a control unit that causes pixels in the characteristic region among the plurality of pixels to be photographed under second photographing conditions different from the first photographing conditions, and causes pixels in another region other than the characteristic region among the plurality of pixels to be photographed under the first photographing conditions. The detecting unit and the control unit are provided inside of the image sensor.

This invention discloses a method for evaluating inter-well connectivity based on dynamic differential pressure and time-delay scanning, comprising the following steps: S1: acquiring dynamic monitoring data of the target well group; S2: performing time alignment and unified time-scale resampling on the dynamic monitoring data to obtain an analysis time-series data table; S3: constructing a dynamic response characteristic sequence of production wells; S4: smoothing to obtain a smoothed injection volume sequence of injection wells and a smoothed dynamic response characteristic sequence of production wells; S5: progressively time-shifting the smoothed injection volume sequence of injection wells to obtain a time-delay correlation coefficient sequence under different lag times τ; S6: evaluating the inter-well connectivity strength based on the maximum correlation coefficient and evaluating the inter-well conduction speed based on the optimal lag time. This invention can reduce the impact of fluctuations in the operating conditions of production wells on the inter-well connectivity identification results, improve the stability, accuracy, and engineering applicability of inter-well connectivity evaluation, and provide technical support for the dynamic monitoring and connectivity evaluation of injection-production well groups.

The application relates to a dam displacement prediction method considering time lag characteristics, comprising the following steps: obtaining displacement observation data of a target dam and preprocessing the displacement observation data to form a displacement observation sequence and determine an upper limit of time lag in the displacement observation sequence; constructing a displacement prediction data set of the target dam based on the displacement observation sequence and environmental variable factors affecting the displacement of the dam, and time-paneling data in the displacement prediction data set according to the upper limit of time lag; constructing a deep neural network based on a gated recurrent unit, and establishing a time lag parameter considering the upper limit of time lag; traversing the time lag parameter, and selecting an optimal time lag parameter; training the deep neural network based on the gated recurrent unit by using the time-panelized displacement prediction data set according to the optimal time lag parameter, so as to obtain a trained dam displacement prediction model; and using the trained dam displacement prediction model to predict the displacement of the target dam.

The invention discloses a cascade hydropower station double-time-lag incoming water prediction method, system and device and a medium, and the method comprises the steps: obtaining cascade drainage basin data, constructing a probability distribution model of meteorological variables according to the cascade drainage basin data, and generating a meteorological uncertainty scene; the method comprises the following steps: constructing a double-time-delay convolution prediction model according to hydrological characteristics of a cascade hydropower station, and parameterizing and training the double-time-delay convolution prediction model by adopting a data driving method to obtain a first double-time-delay convolution prediction model; and taking the meteorological uncertainty scene as input of a first double-time-lag convolution prediction model, performing simulation prediction on multiple scenes of natural inflow components, outputting natural inflow evolution processes of all power stations in the corresponding meteorological scene, and realizing cascade hydropower station double-time-lag inflow prediction. And a scientific basis is provided for dispatchers to cope with different risk scenes.

The invention provides an airport apron queue length prediction method based on a multi-queue network model. Firstly, fluid flow approximation serves as a theoretical basis, queues are divided according to control seats and sliding directions, sliding time lag is expressed through a delay differential equation, a flow transfer rule is described by means of a Jackson routing matrix, and a single-queue model is expanded to a multi-queue network. Meanwhile, parameters such as service rate and delay are calibrated based on historical data. By means of the method, the multi-stage congestion form of the airport apron peak period is accurately represented, minute-level all-day prediction is achieved, the expressivity and usability of the method in the airport apron scene are verified, the airport ground operation toughness can be improved, and a new modeling thought is provided for hub airport airport apron operation optimization.

An elevator door device is provided that can detect a position that serves as a reference for the absolute position of a door while suppressing the occurrence of a detection time lag, without using a dedicated device for detecting the absolute position of the door. [Solution] The elevator door system includes a motor, a rotation angle sensor, a speed command unit that outputs a rotation speed command value for the motor, a speed control unit that calculates a torque command value so that the motor's rotation speed matches the rotation speed command value, a door position detection unit that detects the door position based on the rotation angle, and a load torque application unit that applies a mechanical load torque to the motor when the door passes a preset reference position between the fully open position and the fully closed position during opening / closing. The door position detection unit identifies a reference rotation angle, which is the rotation angle when the door is in the reference position, based on changes in the torque command value corresponding to the load torque, and detects the absolute position of the door based on the identified reference rotation angle and the rotation angle.

To provide a pallet carrying in / out device capable of adjusting positional deviation of a stop position of left and right movable frames with a simple structure.SOLUTION: Each of load carrying in / out mechanisms of a pallet carrying in / out device comprises movable frames 21L, 21R, and a movable frame moving mechanism 5 for advancing / retracting the movable frame with respect to a working area S. The movable frame moving mechanism 5 includes: a pair of stoppers 55A, 55B; a pair of abutting parts 56A, 56B; a main sensor 86 for detecting that the movable frame moving mechanism 5 and a first abutting part abut on the stopper; and a control device 100 for selectively executing a first stop control for stopping a drive mechanism 8 by causing time lag between detection timing of the main sensor and stop timing of the drive mechanism 8, and a second stop control for stopping the drive mechanism without causing time lag.SELECTED DRAWING: Figure 18

The invention discloses a differential game collaborative guidance method under data packet loss and time delay, which comprises the following steps of: after a data retransmission mechanism is introduced to establish a mapping relation between a packet loss probability and a time delay size, designing a proportional time delay accumulation error based on a neighbor node signal received by a missile node and a reference signal, and ensuring that the probability of packet loss is reduced in the error conversion mode; when the error converges to zero, the states of all the missiles can achieve cooperation. And respectively designing feed-forward and feedback control components by using the smoothed error in combination with instruction filtering inversion control and a differential game method so as to improve the robustness and the optimal performance of the designed guidance law. Meanwhile, for the problem that the optimal performance index function is difficult to solve in the feedback component design process, an evaluation network fitting performance index function is introduced in combination with an adaptive dynamic programming technology. According to the scheme, the error bounded property can be proved through the designed Lyapunov function, and the stability performance of a missile cluster using the guidance scheme under the condition of communication data packet probability loss and communication time delay is guaranteed.

This invention discloses an ADRC method for attenuating periodic disturbances in time-delay systems, belonging to the field of automatic control technology. The method includes: 1. Obtaining the controlled process model and disturbance frequency, and establishing an extended state model containing the periodic disturbance; 2. Constructing a reduced-order extended state observer and tuning the gain using the bandwidth parameter method; 3. Introducing a pure time-delay module into the observer's output channel to construct an ADRC structure; 4. Revealing the mechanism by which periodic disturbances in time-delay systems cannot be attenuated through two-degree-of-freedom equivalent transformation analysis; 5. Based on the frequency domain characteristic equation, analytically determining the delay of the time-delay module to achieve effective attenuation of periodic disturbances at specific frequencies. This invention solves the problem of attenuating periodic disturbances in time-delay systems without significantly increasing structural complexity. Compared to traditional schemes that require high-gain or complex prediction structures, this invention only requires adjusting the pure time delay of the observer's output channel, and the parameter tuning process is clear and intuitive, significantly lowering the threshold for engineering applications.

This invention discloses a stability analysis method and system for exponentially uncertain switching time-delay systems. A novel state-dependent switching strategy based on the energy decay principle is designed, and the maximum allowable time delay of the system is obtained by solving its stability conditions. First, a state-dependent switching strategy is designed based on the energy decay principle. Second, a functional is constructed, and sufficient conditions for the asymptotic stability of the exponentially uncertain switching time-delay system are given and proved based on the generalized free matrix integral inequality method, Jensen's inequality method, and the negative definite lemma of quadratic functions. Finally, simulation examples verify the effectiveness of the designed switching strategy and the correctness of the obtained stability conditions. The switching strategy and stability conditions designed in this invention are applicable to control systems with complex switching dynamics, state-space delay dynamics, and uncertain disturbances, and have significant theoretical and practical application value.

Provided is an elevator door device capable of suppressing the occurrence of detection time lag and detecting a reference position of the absolute position of a door without using a dedicated device for detecting the absolute position of the door. The elevator door device comprises: a motor; a rotation angle sensor; a speed command unit that outputs a rotational speed command value of the motor; a speed control unit that calculates a torque command value such that the rotational speed of the motor matches the rotational speed command value; a door position detection unit that detects the position of the door on the basis of the rotation angle; and a load torque imparting means for imparting mechanical load torque to the motor when the door during the opening and closing movement passes through a preset reference position between the fully open position and the fully closed position. The door position detection unit determines a reference rotation angle, which is a rotation angle when the door is located at the reference position, on the basis of a change in a torque command value corresponding to the load torque, and detects the absolute position of the door on the basis of the determined reference rotation angle and rotation angle.

The present application relates to a kind of residual agricultural film water pollution prediction methods based on time delay embedding timing recursive network, comprising the following steps: S1: regional multi-source data acquisition and dataset construction, provide input data for prediction model;S2: build timing recursive prediction model, based on the timing recursive of multilayer gate control cycle unit GRU and time delay embedding mechanism builds prediction model, establishes the dynamic transmission relationship between residual agricultural film, soil characteristics and water pollution three kinds of medium;S3: pollution transmission chain construction and dynamic prediction, in prediction model, introduce intermediary variable and environmental driving factor, build from residual agricultural film to soil characteristics, again to water pollution, realize the dynamic prediction and response analysis of pollution process.The present application can show the time lag relationship between pollution release and water quality response, simulate the timing recursive process of residual agricultural film pollution between multiple media, provide reliable technical support for water pollution risk early warning and management decision.

The present application relates to a kind of mechanical arm milling stability prediction method, the method is first to carry out axial region division to cutting area;Then the static cutting region divided with dynamic cutting region is not equal distance scattered into microelement, the window function and time lag coefficient required for tool microelement and workpiece contact judgment standard are calculated;Finally, the dynamic cutting force matrix and milling process multi-time lag dynamics model stability solution obtained are used, complete mechanical arm milling stability prediction.Compared with the literature, the present application simultaneously considers the contact relationship of tool-workpiece caused by axial low-frequency vibration and radial low-frequency vibration to establish the stability prediction method, can solve the influence of severe low-frequency vibration on machining process during mechanical arm milling, improve the prediction accuracy of mechanical arm milling stability petal diagram under weak stiffness configuration.

To provide a sensor that has a short waiting time before measurement is possible, and after measurement begins, has minimal time lag in the measured value in response to changes in the concentration of the substance being measured. [Solution] An electrochemical sensor for measuring the concentration of a substance to be measured in a solution, comprising an electrode section including an anode electrode having an anode layer and a first liquid-permeable layer, and a cathode electrode having a cathode layer and a second liquid-permeable layer, wherein a substance capable of recognizing the substance to be measured is fixed to the anode layer, and the water absorption rate of the first liquid-permeable layer is greater than the water absorption rate of the second liquid-permeable layer.

The application discloses a kind of intelligent car lateral and longitudinal collaborative control method considering time delay and external time-varying disturbance, comprising the following steps: obtaining target trajectory point at future time;Car-road state quantity is calculated;Discretization and iterative prediction are carried out;Set time domain constraint and carry out optimal solution;Determine final front wheel rotation angle and speed control instruction;Carry out lateral and longitudinal collaborative control.The application converts complex nonlinear intelligent car lateral and longitudinal control problem into a lateral and longitudinal collaborative model predictive controller for solving.The target trajectory decision module can obtain the information of target trajectory point at future time, prompting the lateral and longitudinal collaborative model predictive controller to calculate the control instruction considering total time delay time, to effectively improve the purpose of time delay problem.Then through preview feedforward and closed-loop feedback correction coordination mechanism can eliminate external time-varying disturbance, and the closed-loop speed feedback value and target speed superposition strategy can realize accurate longitudinal speed control.

The application provides a switch cabinet internal temperature mapping transient inversion method, comprising the following steps: step one, obtaining switch cabinet internal and external temperature data streams to obtain a model training group and a model verification group; step two, setting temperature calculation tracing time periods, time period division segment numbers, initial weights and pre-designed calculation accuracies for each data stream in the model training group and the model verification group formed in step one to obtain training samples; step three, inputting the four groups of variables in the training samples obtained in step two into a regression algorithm for training to obtain a convergence formula; step four, when the algorithm is completely converged and the accuracy meets the requirements, using the obtained convergence formula to test the non-training sample accuracy interval, if the requirements are met, directly giving a temperature full value formula at the current time, and if the requirements are not met, performing feedback adjustment and resetting the length of the tracing time period and the segment number. The application can eliminate the error and time lag of the current time inversion technology and realizes real-time temperature inversion.

The application discloses a differential privacy protection method and related devices, including: obtaining original data of multiple data sources in a discrete time sequence within a target time range; establishing a sequence correlation model for representing the correlation of the original data in the time dimension and the spatial dimension; based on the preset privacy constraint parameter and the sequence correlation model, according to the difference in cross-dependence degree between each data source, determining a differentiated information age vector, and determining a noise parameter; the information age vector is used to indicate the time lag between the data to be published by each data source and the current time, the cross-dependence degree of each data source is positively correlated with the time lag, and the differentiated information age vector is used to balance the asymmetric privacy leakage contribution caused by the difference in cross-dependence degree of different data sources; according to the information age vector, performing a data aging operation on the original data to obtain aged data; based on the noise parameter, injecting noise into the aged data to obtain a final query result.

The disclosed second-order residual gradient and frequency division confidence magnetic suspension bearing time delay dynamic compensation method realizes agile online identification of time-varying time delay through a nonlinear variable forgetting factor least square method driven by a residual second-order gradient, constructs a confidence function based on evaluation of high-frequency energy of frequency division of an identified residual, dynamically schedules weights of model-driven compensation and disturbance-driven compensation according to the confidence function, and realizes adaptive adjustment of compensation strength; in a reliable identification stage, the Pade approximation explicit hedge phase lag caused by time delay is used to significantly restore system phase margin; in an uncertain or time delay mutation stage, a residual feedforward mechanism of active disturbance rejection is introduced to instantaneously inhibit total disturbance of the system, effectively preventing unstable risks caused by over-compensation. The collaborative mechanism fully gives play to the complementary advantages of model-driven compensation and disturbance-driven compensation, so that the magnetic suspension bearing has higher dynamic performance and system safety under a variable time delay environment.

The present application relates to power supply system scheduling technical field, especially involves a kind of cascade hydropower station output scheduling method and system, the method includes: obtaining cascade hydropower station operating parameter, target output task and water flow time lag parameter;Task total duration is divided into continuous scheduling period and determines each period target output value;According to time sequence, each scheduling period is traversed, based on the deviation of current cascade total output and target value, combine preset real-time adjustment rule and water flow time lag parameter, determine the power generation flow of each level hydropower station in current period, water abandonment flow and output;All period results are outputted complete scheduling scheme.This application solves the technical problems that cannot respond to minute-level dynamic load changes in real time, difficult to coordinate to guarantee target output and realize efficient use of water resources in the prior art.

The invention provides a time-delay system estimation control method, device and system, and the method comprises the steps: carrying out the estimation of a time-delay-free output curve of a time-delay system through employing an estimation algorithm, and evaluating whether the estimation curve meets the dynamic performance of the system or not; whether the current controller parameters are reasonable or not can be further judged; when the pre-estimation curve accords with the dynamic performance, calculating a pre-estimator model, and substituting the pre-estimator model into the system; the predictor does not have a time delay link, so that the system output can be fed back to the controller in advance, and the adverse effect of time delay on the dynamic performance of the system is overcome.