59 results about "Error state" patented technology

The invention discloses a humanoid robot joint motor control method with model prediction control, and relates to the technical field of robot motion control. The method is used for solving the problems of control instruction infeasibility and model disturbance caused by voltage saturation during high-speed motion. An error state space model of a joint motor system is established, and non-linear terms such as gravity are used as nominal feed-forward quantities for stripping; then, the rotating speed of the motor and the bus voltage of the driver are collected in real time, the back electromotive force is calculated, and the voltage margin is mapped into a dynamic torque physical limit value at the current moment; and meanwhile, estimating an unmodeled lumped disturbance value of the model by using an extended state observer. And finally, taking the dynamic limit as a real-time inequality constraint, introducing a disturbance value correction prediction equation, constructing and solving a quadratic programming problem, extracting an optimal compensation torque, superposing the optimal compensation torque with an inverse dynamic feedforward torque, and converting the superposed torque into a current signal to drive a motor, thereby realizing high-dynamic and high-precision robust control under the physical boundary constraint.

The invention belongs to the technical field of computer network communication, and provides an RDMA-oriented reliable connection fault rapid recovery method and system, the method is executed by a first communication end, communication is established between the first communication end and a second communication end through a queue pair QP, and the queue pair QP is used for bearing service data transmission. The first communication end reserves resources after the QP enters an error state, and sends a PROBE control frame to the opposite end through the control plane queue pair; the second communication end decides to reuse the original QP or allocate a new QP (reuse an original protection domain, a memory registration area and a completion queue) according to the local QP state, and returns a QP number and a start packet serial number in an RESP frame; and the first communication end updates the local QP context and drives the state machine to switch to a ready sending state. The whole process does not need to destroy the QP and does not depend on CM handshake, the recovery time delay is less than 0.5 millisecond, and the method is transparent to the upper layer application and is suitable for the RoCE v2 network environment.

The invention provides a preset time fuzzy control method for a reentrant manufacturing system under intermittent state feedback, and the method comprises the steps: constructing a nonlinear error dynamic model, and employing a fuzzy modeling technology to represent the system as a combination of a plurality of linear subsystems; introducing a time scaling function, and transforming the error state of the global fuzzy model by using the time scaling function to obtain an error scaling state; an event triggering mechanism is designed to realize intermittent state feedback so as to reduce the communication cost; based on the Lyapunov stability theory, a sufficient condition that the system is stable within preset time is deduced, and a controller gain is obtained by solving a linear matrix inequality of the sufficient condition, so that the system still has robustness under external interference. Agile response and low-communication-cost operation of the reentrant manufacturing system within the preset deadline are realized.

The present disclosure includes devices methods and systems related to detecting stall error state in a work machine. A method for detecting stall error state in a work machine may include determining one or more base operation states. The method may include receiving speed indication data from one or more speed detection systems. The method may include comparing the one or more base operation states to one or more of the speed indication data. The method may include determining a stall error state based at least in part on the comparing of the base operation states and speed indication data. The method may include adjusting one or more combine operation parameters based at least in part on the stall error state.

The invention relates to the technical field of numerical control machine tools, and discloses a thermal error dynamic modeling and compensation method for a numerical control machine tool. The method comprises the following steps: continuously collecting heat state original data through a temperature sensing device arranged at a key part of a numerical control machine tool; real-time preprocessing is carried out on the thermal state original data to eliminate noise and abnormal values, and a standardized thermal data sequence is generated; key thermal characteristic parameters are extracted from the standardized thermal data sequence, and the key thermal characteristic parameters are input into a self-adaptive thermal error prediction module to output a current thermal error prediction value; comparing the current thermal error predicted value with a preset thermal error threshold value to generate a thermal error state indication signal; starting a compensation strategy selection mechanism when the thermal error state indication signal indicates abnormity; the compensation strategy selection mechanism retrieves a compensation scheme library according to the thermal error state indication signal to determine an adaptive compensation instruction; and executing the adaptive compensation instruction to drive the numerical control machine tool to adjust processing parameters for thermal error correction.

The invention provides a fault recovery method and system, driving equipment and a storage medium, and belongs to the technical field of driving equipment.The method comprises the steps that in the running process of the driving equipment, an equipment identifier of a target peripheral component with a fault in multiple peripheral components of the driving equipment is determined; obtaining working state information of the target peripheral component according to the equipment identifier, wherein the working state information is used for reflecting whether the power supply state of the target peripheral component is normal when the fault occurs; determining a fault recovery strategy of the target peripheral component according to the working state information; and controlling the target peripheral component to perform fault recovery according to the fault recovery strategy. In this way, fault recovery is only carried out on the peripheral component with the fault, operation of other peripheral components is not affected, normal operation of the system can be guaranteed while the error state can be cleared away in time, unnecessary system restarting is avoided, data loss is prevented, the influence of the fault on operation of the driving equipment is reduced, and the driving efficiency is improved. And the availability and the stability of the system are improved.

The invention provides a vehicle multi-source sensing fusion positioning method, system and device, and belongs to the technical field of automatic driving positioning. The method comprises the following steps: under an error state Kalman filtering framework based on a manifold space, decomposing a real state quantity of a vehicle into a nominal state quantity and an error state quantity; using IMU data to predict a state through median integration; and asynchronously fusing multi-source observation such as an encoder, a GNSS (Global Navigation Satellite System) and a lane line, updating an error state through a linearized observation model and a Kalman gain, and finally merging and outputting a calibrated vehicle pose. According to the method, deep fusion and incremental updating of multi-source data are realized through a unified ESKF framework, error accumulation of pure inertial navigation and positioning jump during mode switching are effectively inhibited, and the real-time performance, output continuity and overall robustness of the system are remarkably improved while the positioning precision is ensured.

The invention discloses a knowledge distillation-based model training method and device, electronic equipment and a medium. The method comprises the steps that question cue words are input into a student model, and the student model gradually generates student answer marks according to the question cue words; for each student answer mark, calculating the difference between the student answer mark and a teacher answer mark generated by the teacher model; if the difference is equal to or greater than a preset difference threshold, determining the current state of the student model as a target divergence error state; according to an error path generated by the student model based on the target bifurcation error state and a rescue path generated by the teacher model based on the target bifurcation error state, calculating comparison sorting loss; and training the student model according to the comparison sorting loss to obtain a trained student model. According to the method, the key error node can be accurately identified, the student model is effectively taught to recover from the error state, and the reasoning effect of the student model is improved.

An integrated circuit (IC) for testing an I3C device is provided. The IC may include a start / stop detection logic block to receive a serial data line (SDA) signal and a serial clock line (SCL) signal, and output a start detection signal and a stop detection signal, a SCL counter block to receive the SCL signal and the start and stop detection signals, and output a SCL count value, a SCL positive edge detection signal, and a SCL negative edge detection signal, a SDA inversion logic block to receive the SCL count value, a SCL programmed count value, and the SCL positive and negative edge detection signals, and output a SDA invert enable signal based on a comparison of the SCL count value and the SCL programmed count value, and a multiplexer to receive the SDA invert enable signal, and output the SDA signal or an inverted SDA signal.

Methods and apparatus relating to a memory failure detection mechanism within a die architecture. In some examples, a die package includes decoder logic that receives a plurality of data words, and a first error correction code for each of the data words. The decoder logic generates, for each of the data words, a second error correction code based on a corresponding one of the data words. Further, the decoder logic generates, for each of the data words, an error state based on the first error correction code and the second error correction code corresponding to each of the data words. The die package also includes error generation logic that receives the error state for the data word from the decoder logic and generates error data based on a combination of the error states for the data word. The error generation logic may store the error data in a memory device.

When a state machine of the time sequence circuit is influenced by a single event upset (SEU) effect, a state code of the state machine is very easy to change, so that the state machine is in an invalid or error state and cannot be recovered, and the function of the time sequence circuit is failed. Aiming at a state machine based on Hamming distance-3 coding, the invention provides the low-overhead error detection circuit for the Hamming distance-3 five-bit state code, and the resource overhead in the error detection process is greatly reduced by simplifying the judgment logic of a detection unit.

The application provides an automatic driving positioning integrity fault detection and recognition adaptive evaluation method, and relates to the technical field of vehicle control.The application realizes real-time estimation and constraint of observation error and state uncertainty by fusing GNSS and IMU and introducing error state Kalman filtering.The application introduces residual error driven detection-recognition-adaptation, can realize real-time identification, elimination and weight correction of abnormal observation in a multi-dimensional observation space, and through dynamic threshold adjustment and uncertainty quantization mechanism, makes the filtering process be able to automatically adjust the observation noise model according to the environmental change, and ensures that the system maintains stable convergence and high-precision performance in multiple scenes.The application adopts optimal subset selection and white residual error construction in the ESKF updating link, effectively reduces the influence of abnormal observation dimension on state estimation covariance.Through the integrity evaluation method combining the protection level and the alarm limit value, whether the positioning error meets the safety requirement can be judged.

The invention discloses a memory bank fault analysis method, device and equipment and a storage medium, and relates to the technical field of server security management and control, the method comprises the following steps: reading an internal error state register of target memory equipment according to a preset monitoring period to obtain real-time error information; and performing fault prediction analysis based on the real-time error information to obtain a memory pre-fault judgment result corresponding to the target memory device. According to the method and the device, the internal hardware register is directly read to obtain the real-time error information, and the pre-fault state of the target memory equipment is accurately identified based on the real-time error information, so that the influence of a shielding effect of an on-chip error correction code on fault analysis can be avoided, and the accuracy and the reliability of fault prediction are improved. Therefore, the fault of the DDR5 memory bank can be recognized in advance by directly utilizing the data of the hardware register, and fault prediction of the DDR5 memory bank is realized.

The invention relates to the technical field of vehicle control, in particular to a child lock control method and device of a vehicle, electronic equipment and the vehicle. The method comprises the steps of obtaining a current control state of a rear window and a current control state of a child lock; judging whether the current control state of the child lock is matched with the current control state of the rear window or not; and in response to the fact that the current control state of the child lock is not matched with the current control state of the rear window, an adjustment control instruction matched with the current control state of the rear window is generated, and the adjustment control instruction is sent to the child lock so that the child lock can adjust the current control state of the child lock according to the adjustment control instruction. According to comparison judgment of the current control state of the rear window and the current control state of the child lock, when the current control state of the rear window and the current control state of the child lock are not matched, the adjustment control instruction is generated and sent to the child lock, the child lock conducts control state adjustment, the adjusted child lock and the rear window can be matched in state, the situation that the child lock is in an error state is avoided, and the accuracy of the child lock is improved.

The invention provides a method and a system for preventing function degradation of an IBC (Intermediate Business Controller) in a dormancy process, and belongs to the technical field of function degradation of the IBC, the method for preventing function degradation of the IBC in the dormancy process comprises the following steps: in the dormancy process of the IBC, re-electrifying within a preset time after a bus is closed; when the bus voltage is smaller than the preset bus voltage, the motor is powered on again, and the output signal is inconsistent with the actually acquired signal, the motor pre-driving chip accidentally enters an error state, and the condition of entering a chip discharge termination state is dynamically adjusted; and dynamically adjusting the fault code reporting logic according to the vehicle power-on time and the chip discharge duration. According to the method, the fault code reporting logic is dynamically adjusted according to the vehicle power-on time and the chip discharge duration, and the fault code reporting logic is correspondingly optimized.

Provided is an electronic apparatus including: a communication interface; a memory storing instructions; and at least one processor, wherein, if collectively or individually executed by the at least one processor, the instructions cause the electronic apparatus to identify at least one of a plurality of data received from a dryer, including information about a drying operation time of the dryer, information about an outlet temperature of a compressor included in the dryer, information about a weight of laundry to be dried or information about an internal temperature of a drum, and obtain information about an error state of the dryer based on the identified information.

The invention relates to a method for operating a motor vehicle locking system (1) for a closure element (2) of a motor vehicle (3), the motor vehicle locking system (1) having a motor vehicle lock (4), an electric drive (5), a control arrangement (6) and a switch arrangement (10), wherein the control arrangement (6) queries the switching state of a main switching element (11) of the switch arrangement (10) on the basis of a signal level at a signal input (12) of the control arrangement (6), said signal input being connected to the switch arrangement (10), wherein in the closed switching state, the main switching element (11) closes a connection of the signal input (12) to a reference potential and, in the open switching state, opens same, wherein the control arrangement (6) checks, in a diagnostic routine, the presence of an error state relating to the switch arrangement (10) on the basis of the signal level at the signal input (12). According to the invention, the switch arrangement (10) has a parallel resistor (16) which is connected to the reference potential in parallel with the main switching element (11) and, during emergency operation, the connection of the parallel resistor (16) to the reference potential is disconnected by means of an auxiliary switching element (17) of the switch arrangement (10).

A method includes receiving an indication of a first error state. The first error state is associated with a first set of user inputs. The method includes summarizing the first set of user inputs and reviewing a first solution. Reviewing the first solution includes, in response to a determination that the first solution resolves the first error state, automatically executing the first solution on the target device. Reviewing the first solution includes, in response to a determination that the first solution does not resolve the first error state, reviewing a second solution. The method includes detecting a second set of user inputs. The method includes determining whether the second set of user inputs corresponds to the first error state. The method includes, in response to a determination that the second set of user inputs corresponds to the first error state, automatically outputting a prompt.

Disclosed herein is a computer-implemented quantum error correction method for decoding errors in a quantum computer system. The quantum computer system comprises a decoder apparatus and a register of quantum devices, the decoder apparatus comprising a plurality of processing elements (PEs). The method comprises receiving, at the decoder apparatus, syndrome data representative of an error state of the quantum devices in the register of quantum devices, the syndrome data comprising a plurality of defects, wherein the syndrome data is representable as a decoding hypergraph comprising a plurality of nodes connected by hyperedges representing error mechanisms associated with the plurality of quantum devices. The method further comprises performing, by the plurality of PEs, a clustering algorithm, the clustering algorithm comprising a plurality of steps, and wherein the clustering algorithm grows and merges clusters of nodes based on the number of defects in each cluster until a final cluster state is reached. The method further comprises determining, by the decoder apparatus, a correction for the error state based on the final cluster state; wherein each of the plurality of PEs is associated with a respective batch of nodes of the decoding hypergraph, each batch containing a plurality of nodes. Each PE of the plurality of PEs performs one or more first steps of the plurality of steps of the clustering algorithm. Performing the one or more first steps by each PE comprises determining which nodes of the PE's associated batch of nodes are in a cluster, and performing, in respect of each of the nodes determined to be in a cluster, the one or more first steps of the clustering algorithm.

The present application relates to the technical field of electric digital data processing, and discloses a data processing method of multi-source error fusion, comprising: acquiring geometric static error, non-uniform temperature field distribution and strain load mixed data containing thermal stress characteristics of a large controlled system; thermal elastic compensation modeling is used to calculate thermal deformation compensation and map thermal induced pseudo-tension component; the component is used to decouple and separate strain load mixed data, and extract net mechanical load component; according to the dynamic distribution weight of each data compensation component observation variance, a multi-dimensional matrix fusion is used to generate a comprehensive error state vector; a physical logic threshold is compared, and a space deviation control instruction is outputted; the present application decouples thermal induced interference at the level of electric digital signal, cuts off the coupling parasitic link between temperature characteristics and strain characteristics, avoids data space collinearity interference, suppresses control instruction oscillation, and improves the deviation hedging stability and real-time processing efficiency of a large controlled system.

The present invention relates to error management for a vehicle (10) having at least one camera unit (21) configured to provide image data, wherein if a corresponding error state is detected regarding the vehicle (10), a corresponding error entry is created based on the detected error state. The corresponding error entry represents information about the corresponding detected error state. Corresponding image data from the at least one camera unit (21) is requested based on the corresponding detected error state. This request for the corresponding image data from the at least one camera unit (21) is time-correlated with the corresponding detected error state. The requested image data is then assigned to the corresponding error entry.

This invention discloses a real-time correction method and system for the accuracy drift of current transformers, solving the problem that existing technologies struggle to accurately correct error drift in current transformers, leading to out-of-tolerance operation. The method includes: real-time acquisition of parameters from the operating current transformer to generate a time-series monitoring sequence with a unified time scale; calculation of characteristic parameters representing the dynamic changes in error based on the time-series monitoring sequence; selection of candidate models from a pre-set mathematical model library based on the characteristic parameters, and fitting the models using the least squares method to automatically select a current error correction curve describing the current error state; comparison of the current error correction curve with the original error curve calibrated at the factory of the current transformer, and graded correction judgment based on the comparison results. This achieves accurate identification, adaptive correction, and state assessment of current transformer error drift, extending the effective lifespan of the current transformer.

Provide is a system and method for root of trust and dynamic session management of cryptographic devices servicing cryptographic requests from multi-tenant applications in a cryptographic computing environment is provided. The system comprises a Connection Manager to provide low-latency cryptographic operations, a Cache Store to support multi-tenancy, a Session Scheduler to provide high-throughput cryptographic services, and a Session Health Monitor to provide resiliency. The system tracks a state of the PKCS11 sessions and revises session assignments of client applications depending on whether a PKCS11 session with the cryptographic device is busy or in a range of error states, and detects, classifies and remedies multiple error situations occurring within a prepared Pool of session blocks in view of the health metrics to provide improved cryptographic operation performance. Other embodiments disclosed.

The present invention relates to a security system (10) for securing a restricted access area in a converting machine. The security system (10) comprises a detection unit (20) comprising a plurality of sensors (22) arranged side by side an having a vertical sensing direction. Each sensor has an individual control zone (Z). The detection unit is configured to detect control signals (23) indicating an arrival time (t1) and a departure time (t2) of an object (24, 32) transported through each of the control zones. The security system further comprises an evaluation unit (26) configured to receive the control signals (23) from the detection unit and a memory (25) containing a program to cause the evaluation unit to determine an error state indicating the presence of a prohibited access based on the control signals (23).

An electronic circuit comprises a fault output node that is switchable between a fault state, indicating a fault operating state, and a normal state, indicating a normal operating state, wherein the electronic circuit further comprises: a fault detector configured to detect a number of fault event signals from a plurality of fault event signals, each of the plurality of fault event signals indicating a different fault event associated with the electronic circuit; a fault mode signal generator configured to generate a fault mode signal based on the detected number of fault event signals; and a fault output node control unit configured toto receive the error mode signal and, in response to receiving the error mode signal: to switch the error output node to the error state and to output the error mode signal at the error output node by switching the error output node according to the error mode signal.

A method and system for a technical installation during occurrence of an error state in a controller device of the technical installation is provided. The method includes receiving, by a processing unit, a plurality of program execution parameters from each of a plurality of controller devices in the technical installation. The method further includes determining, an error state in a first controller device of the plurality of controller devices. The method further includes determining from a plurality of fail-safe logic, a fail-safe logic associated with the first controller device based on the determination of the error state in the first controller device. The method further includes initiating, by the processing unit, an execution of the fail-safe logic associated with the first controller device, in a second controller device of the plurality of controller devices.

The application discloses an engineering measurement error dynamic correction method based on multi-sensor data fusion and relates to the technical field of engineering measurement. By defining three error sources of sensor physical characteristics, environmental interference and human operation as estimable state variables, different characteristics of errors are processed differently: a dynamic model is established to embed the sensor and environmental errors into the state space, real-time compensation based on the model is realized, a gross error identification mechanism based on data-driven statistical characteristics is established to realize real-time diagnosis and processing of human errors, a recursive estimation algorithm is used to perform joint optimal estimation on the unified state vector, and the estimation values of the corrected physical quantity and error states are output synchronously, the scheme significantly improves the measurement accuracy and reliability through dynamic error compensation and optimal fusion, and the stability of the system in a non-ideal environment and online self-diagnosis and health monitoring of the measurement system are enhanced through robust processing of the gross error.

This electronic device comprises a communication interface, a memory for storing instructions, and at least one processor, wherein, when collectively or individually executed by the at least one processor, the instructions can instruct the electronic device to: identify at least one from among a plurality of pieces of data, which is received from a dryer and include a drying operation time of the dryer, an outlet temperature of a compressor included in the dryer, information about the weight of objects to be dried, or information about the internal temperature of a drum; and obtain information about an error state of the dryer on the basis of the identified information.

The application provides a preset time fuzzy control method for a reentrant manufacturing system under intermittent state feedback, comprising the following steps: constructing a nonlinear error dynamics model and adopting a fuzzy modeling technology to represent the system as a combination of multiple linear subsystems; introducing a time scaling function, transforming an error state of the global fuzzy model by using the time scaling function to obtain a scaled error state; designing an event-triggered mechanism to realize intermittent state feedback to reduce communication cost; based on Lyapunov stability theory, deriving a sufficient condition for the system to be stable within a preset time, and obtaining controller gains by solving a linear matrix inequality of the sufficient condition, so that the system still has robustness under external disturbance, thereby realizing agile response and low communication cost operation of the reentrant manufacturing system within the preset time.

The present invention relates to a method for operating a travel drive of a movable work machine, wherein the travel drive comprises an electric motor (305) which drives at least one wheel (303) of the work machine, and wherein the movable work machine comprises an input device (330) which has one or more operating elements with which the driver of the movable work machine can control the travel drive, characterised in that the method comprises the following steps: a) determining a current speed of the movable work machine or a variable dependent thereon; b) determining a current torque which corresponds to the torque generated by the electric motor (305) or a variable dependent thereon; c) detecting an input via the input device (330); d) checking for an error state on the basis of the speed determined in step a), on the basis of a comparison of the torque determined in step b) with a reference torque and on the basis of the input detected in step c) via the input device (330).