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127 results about "Adaptive change" patented technology

Adaptive change involves changing more than routine behaviours or preferences; it involves changes in people's hearts and minds. Because the change is so profound, adaptive change can result in transformation of the system.

Adaptive light emitting diode (LED) illumination device and control method thereof

The invention discloses an adaptive light emitting diode (LED) illumination device and a control method thereof. The device comprises a microprocessor, a sensor part, a power module and an adjustable constant current drive module, wherein the microprocessor receives sensing signals in real time, and changes a drive current to change the luminance of an LED by controlling the output of the adjustable constant current drive module according to the sensing signals; the sensor part is connected with the microprocessor, and is used for detecting the data information of an illumination environment and transmitting the data information to the microprocessor; the power module and the adjustable constant current drive module are connected with the microprocessor; the power module is used for supplying power to the whole device; and the adjustable constant current drive module is controlled by the microprocessor, and is used for outputting a constant current to drive an LED lamp to emit light. Due to a front light sensing function, a motion sensing function, a temperature control function, a time control function or/and an luminance sensing function, the device and the control method thereof save electric energy, reduce the heating of the LED, prolong the service life of the LED, meet requirements on the adaptive change of color temperature of a fluorescent lamp along with external change, and provide a more comfortable illumination environment.
Owner:SICHUAN SUNRAIN SIGN & DISPLAY SYST

An underwater acoustic sparse channel estimation variable step sparsity adaptive match tracking method

The invention discloses an underwater acoustic sparse channel estimation variable step sparsity adaptive matching tracking method, which fully utilizes the underwater acoustic channel sparse multipathcharacteristic and avoids the waste of frequency spectrum resources caused by the excessive number of pilots in the traditional channel estimation technology. The method does not need sparseness as apriori information, and the size of the support set is the estimated sparseness at the end of iteration by expanding the support set through step size. In addition, the signal reconstruction processis divided into several stages by combining stage idea and variable step size, the number of atoms in the support set in a certain phase remains constant, and the adjacent phases gradually expand thesupport set by different step sizes. The invention improves the recovery accuracy on the premise of not significantly increasing the calculation amount, that is, obtains a better trade-off between thereconstruction accuracy and the calculation complexity. Compared with the prior classical greedy algorithm, the invention does not need sparseness as a prior information, and the step size adaptive change can give consideration to the algorithm accuracy and the operation efficiency.
Owner:SOUTHEAST UNIV

Control method of gear shifting force of shifting fork of automatic dual-clutch transmission

The invention discloses a control method of gear shifting force of a shifting fork of an automatic dual-clutch transmission. After a gear shifting pressure control module receives a gear shifting command, the initial stage is switched to the pre-synchronization stage, initial gear shifting pressure is controlled, and a gear sleeve sliding block is driven by the shifting fork to move to the position where the gear sleeve sliding block is to make contact with a synchronizing ring; in the synchronization stage, the synchronous gear shifting pressure is controlled, and the gear sleeve sliding block is continued to be driven by the shifting fork to make contact with the synchronizing ring; in the sliding stage, the sliding gear shifting pressure is controlled, a synchronizer gear sleeve is driven by the shifting fork to move to the position where the synchronizer gear sleeve is to make contact with a conjunction gear; in the conjunction stage, the conjunction gear shifting pressure is controlled, and the synchronizer gear sleeve is engaged with the conjunction gear; and in the termination stage, gear shifting is completed by outputting a gear shifting termination state signal. According to the control method of the gear shifting force of the shifting fork of the automatic dual-clutch transmission, adaptive change of gear shifting force of gears is achieved, a gear shifting pressure curve is smooth in the gear shifting process, and one-time fast gear shifting is achieved.
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD

Multi-UUV (Unmanned Underwater Vehicle) cooperative system underwater target tracking algorithm for fuzzy adaptive interacting multiple model (FAIMM)

InactiveCN107193009AMeet the needs of underwater target trackingReduce disorderly competitionAcoustic wave reradiationCovarianceTrack algorithm
The invention provides a multi-UUV (Unmanned Underwater Vehicle) cooperative system underwater target tracking algorithm for a fuzzy adaptive interacting multiple model (FAIMM). Firstly, according to the bearing-only target tracking principle of the multi-UUV cooperative system, a discrete nonlinear state and observation equation for the target tracking system is built; then, according to the characteristics of underwater target motion, in combination of five kinds of target motion modes, analysis is carried out according to the dynamic state transition matrix, the coupled inequality relation among the five modes is put forward, and a motion mode set adapted to underwater target tracking is selected optimally; then, an intermediate Gauss distribution function is adopted as a membership function, a mode probability is used as an evaluation index for filter information and corresponding covariance acquired by each mode, and fuzzy reasoning for the mode transition probability is designed; and finally, the FAIMM algorithm is designed and realized. During the multi-UUV cooperative system bearing-only target tracking process, the least number of target motion sets is selected, adaptive change of the mode transition probability is realized through the fuzzy reasoning, disordered competition among the modes are reduced, the filter accuracy is higher, and demands of multi-UUV cooperative system underwater target tracking can be met.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Three-dimensional display device

The invention provides a three-dimensional display device which comprises a displayer, a camera and a processor. The camera is used for tracking human eye location information; the processor which is electrically connected with the camera is used for generating control signals according to the human eye location information; the displayer comprises a dynamic optical grating which is electrically connected with the processor; and the dynamic optical grating is used for controlling positions of light and dark strips in the dynamic optical grating according to the control signals to enable the positions of the light and dark strips of the dynamic optical grating to produce adaptive changes to adapt to human eye positions to enable the light which is incident to the dynamic optical grating to be incident to display pixels of the displayer after the transmission of the transmitting gaps of the dynamic optical grating to enable the left eye pixel image light to be incident to the left eye of a person and the right eye pixel image light to be incident to the right eye of the person. Accordingly, the three-dimensional display device has the advantage of achieving a 3D (Three Dimensional) image viewing effect due to the facts that the camera is utilized to track the human eye location information and then a control unit is utilized to achieve changes of the positions of the dynamic optical grating to adapt to different observation positions of human eyes according to the human eye location information.
Owner:SHENZHEN ESTAR DISPLAYTECH

Fault-tolerant consistency control algorithm for second-order multi-agent system based on sliding mode control theory

The invention discloses a fault-tolerant consistency control algorithm for a second-order multi-agent system based on a sliding mode control theory. Firstly, general Lipschitz continuity condition assumption is made for external nonlinear factors of the second-order multi-agent system; then, an upper limit for additive faults of an actuator is given and an adaptive change rate for the upper limitis proposed; and finally, a fault-tolerant control algorithm which enables the second-order multi-agent system to realize consistency under a given assumption and an additive fault of the actuator isproposed by using an actuator additive fault upper limit estimation value. The algorithm can solve the problem of consistency realization of the second-order multi-agent system under the simultaneousaction of the actuator additive fault and the external non-linear factors. To solve the problem of jitter caused by sliding mode control, by adjusting the adaptive law of the actuator additive fault upper limit estimation value, a fault-tolerant control law is reconstructed to effectively solve the hazard problems caused by jitter in the consistency control process. The algorithm is applicable tothe problem of consistency realization of a second-order multi-agent system with actuator additive faults under the action of external non-linear factors.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Method for estimating SOH of battery pack

The invention discloses a method for estimating SOH of a battery pack. The method is characterized by, estimating the SOH of the battery pack through double adaptive extended Kalman filtering algorithm; estimating battery Ohm inner resistance and battery charge state online through two independent Kalman filters; and reflecting the SOH of the battery through change of the battery Ohm inner resistance. In the aspect of parameter setting, an original kalman filtering algorithm setting mode is changed into a parameter-adaptive change mode, so that algorithm convergence is better; and the whole algorithm is less influenced by parameter initial value setting, and the algorithm is easy to transplant and is relatively stable in the operation process. The adaptive extended Kalman filtering algorithm is actually a kind of recursive linear minimum variance estimation; and through algorithm real-time observation value and the estimated value at the last moment, the SOH is estimated in real time, and thus the state of health of the battery can be reflected in time. The method is suitable for various occasions of the battery; and compared with other method, the double adaptive extended Kalman filtering algorithm can reflect the SOH of the battery pack dynamically, and the method is more suitable for the severe-current-fluctuation electromobile application environment.
Owner:OPTIMUM BATTERY CO LTD

Biometric identification apparatus based on fusion of iris and human face and biometric identification method using apparatus

InactiveCN105320941ASolve the problem of large color difference and low recognition rate of iris collectionSolve the problem of low acquisition recognition rateCharacter and pattern recognitionEngineeringAdaptive change
The present invention discloses a biometric identification apparatus based on fusion of an iris and a human face. The apparatus comprises a housing with an infrared filter plate arranged on a front panel, wherein a central processing unit, a light source unit, a human face collector located behind glass and an iris collector located behind the inside plate surface of a half-transparent and half-reflecting mirror are arranged in the housing; the iris collector is erected in the housing by a rotary holder; and the human face collector, the light source unit, the iris collector and the rotary holder are electrically connected to the central processing unit. The biometric identification apparatus based on the fusion of the iris and the human face, disclosed by the present invention, effectively solves the problems that one specific biometric feature is identified by using a present biometric identification apparatus, so that the application scope is limited, adaptive changes cannot be made according to different human races, the friendliness of iris collection is poor and the like; and meanwhile, the biometric identification apparatus can locate human eyes by using an image of the human face collector, so that the iris collector can actively adapt to a human eye position, the identification efficiency is improved, and user experience is enhanced.
Owner:BEIJING INST OF RADIO METROLOGY & MEASUREMENT

Model-free power control method for PFC (Power Factor Correction) AC/DC converter

The invention discloses a model-free power control method for a PFC (Power Factor Correction) AC/DC converter, which is characterized in that input power of the PFC AC/DC converter is enabled to act as a controlled variable so as to realize closed-loop operations of a system, and a model-free control law is generated based on a model-free control algorithm. The model-free power control method comprises the steps of acquiring reference input power of the PFC AC/DC converter according to load demanded power of the PFC AC/DC converter; generating a model-free control law based on the model-free control algorithm according to the input power and the reference input power of the PFC AC/DC converter; generating driving control signals through PWM (Pulse Width Modulation) so as to control the PFC AC/DC converter, and realizing power factor correction and AC-DC conversion of electric energy. According to the invention, the dynamic response of a PFC AC/DC converter system can be improved, the robustness of the system in a wide load range is improved, adaptive changes of output voltage of the converter along with the load are realized, implementation of an electrolytic capacitor-free design of the converter is facilitated, and the operation efficiency, the safety and the reliability of the system are improved.
Owner:HEFEI UNIV OF TECH

Adaptive deceleration method of data transmission

The invention relates to an adaptive deceleration method of data transmission, which belongs to a data processing method of data transmission and solves the problems that wrong data which are previously transmitted cannot be utilized and additional operation is needed in the existing data transmission. The adaptive deceleration method comprises the following steps of subpackage, encoding and data transmission, wherein the data transmission comprises the following steps that a plurality of data packages are decoded and verified one by one by a receiving terminal; if the data packages are verified to be correct, a new data package is transmitted by a sending terminal; otherwise, data are retransmitted by the sending terminal, and joint decoding of a previous frame is performed by the receiving terminal; and the steps are continuously repeated until the data packages are decoded to be correct. According to the adaptive deceleration method, transmission data are divided into a plurality of data packages, so that errors are localized, and the retransmission efficiency is increased; by utilizing the encoding technique, a plurality of blocks of encoding data are generated from the same section of data, thereby realizing joint encoding on the receiving terminal, and the utilization ratio of the wrong data is increased; and additionally, the adaptive change of the wave velocity is realized in accordance with the channel quality, thereby removing redundant information and additional operation from transmission, and the transmission efficiency is further increased.
Owner:NO 722 RES INST OF CHINA SHIPBUILDING IND

Three-dimensional display device

The invention provides a three-dimensional display device which comprises a displayer, a camera and a processor. The camera which is arranged on a front end face of the displayer is used for tracking human eye location information; the processor which is electrically connected with the camera is used for generating control signals according to the human eye location information; the displayer comprises a dynamic optical grating which is electrically connected with the processor; and the dynamic optical grating is used for controlling on-off of alternating voltages between different ITO (Indium Tin Oxide) electrodes and a first ITO conductive layer in the dynamic optical grating according to the control signals to enable positions of light and dark strips of the dynamic optical grating to produce adaptive changes to adapt to human eye positions to enable a left eye image which is displayed through the displayer to reach a left eye of a person through the dynamic optical grating and a right eye image which is displayed through the displayer to reach a right eye of the person through the dynamic optical grating. Accordingly, the three-dimensional display device has the advantage of achieving a 3D (Three Dimensional) image viewing effect due to the facts that the camera is utilized to track the human eye location information and then a control unit is utilized to achieve changes of the positions of the dynamic optical grating to adapt to different observation positions of human eyes according to the human eye location information.
Owner:SHENZHEN ESTAR DISPLAYTECH

Welding robot welding seam recognition method based on deep learning

The invention discloses a welding robot welding seam recognition method based on deep learning. The welding robot welding seam recognition method comprises the steps of acquiring a sample image set ofwelding seams; establishing a model of a convolution-deconvolution neural network wherein the model comprises a convolutional neural network and a deconvolutional neural network, extracting image features of a to-be-identified welding seam through the convolutional neural network, and obtaining a semantic expression of the to-be-identified welding seam through the deconvolutional neural network;wherein the convolutional neural network comprises a convolutional layer with a convolutional kernel, and offset variables are set at sampling point positions of the convolutional kernel, so that adaptive change of the sampling points of the convolutional kernel according to characteristics of a to-be-identified welding seam is realized; using the sample image set training model, acquiring the convolution-deconvolution neural network; inputting an acquired image of the weld to be identified into the convolution-deconvolution neural network, and acquiring welding types of a segmented picture and a segmented picture corresponding to the welding seams to be identified. The invention can greatly improve accuracy and efficiency of welding seam identification.
Owner:GUANGDONG UNIV OF TECH

Multi-robot smell source positioning method based on fruit fly optimization algorithm

The invention relates to a multi-robot smell source positioning method based on a fruit fly optimization algorithm. The method is characterized in that the method comprises following steps of 1), smoke plume discovering: randomly presetting a robot group initial position Pos, dispersing robots in a diamond region with adaptive step length Step*2 by taking the initial position as the center, and determining whether to enter a smoke plume tracking stage according to the fact whether the obtained biggest concentration value is larger than a set concentration threshold value alpha; 2) smoke plume tracking: selecting a robot with the biggest smell concentration as an optimal individual Bestsmell, and if the concentration of the individual is larger than the group optimum Smellbest, updating the position to be the group optimum; and 3) smell source confirmation: using a set concentration threshold value C<lim> as an iteration termination condition, and when the optimal solution continuously found for 3 times meets a termination condition within the biggest iteration times, confirming that the task of positioning the smell source is finished. According to the invention, the fixed step length in the original fruit fly algorithm is corrected, adaptive change is performed according to the concentration and smell source positioning efficiency is effectively improved.
Owner:CHINA UNIV OF MINING & TECH

Protection method for adaptive instantaneous current quick tripping

The invention provides a protection method for adaptive instantaneous current quick tripping. The method comprises: a current current value of a power supply line is read; a current value, read at last time, of the power supply line is subtracted from the read current current value of the power supply line to obtain a fault current component; according to the fault current component, whether starting of a sudden change of a current occurs is determined; a fault type is determined; whether a practically measured current is larger than a short-current calculation value at the tail end of the line is determined; and a tripping signal is sent and the like. The method has the following effects: although the short-circuit current at the tail end of the line and the short-circuit current at any point of the line change simultaneously with the change of the reactance of the system, the short-circuit current at any point of the line is larger than or equal to the short-circuit current at the tail end of the line all the time. On the basis of the adaptive change, the sensitivity of the protection device is improved; and the complete protection range of the overall line is realized. The protection device can cut off the fault instantaneously. Compared with the traditional instantaneous current quick-tripping way, the provided method enables protection to be improved essentially.
Owner:STATE GRID TIANJIN ELECTRIC POWER +1

FPGA (Field Programmable Gate Array)-based STDP (Spike Timing-dependent Plasticity) synaptic plasticity experimental platform under feedforward neural network

The invention discloses an FPGA (Field Programmable Gate Array)-based STDP (Spike Timing-dependent Plasticity) synaptic plasticity experimental platform under feedforward neural network. The experimental platform comprises an FPGA development board and an upper computer which are connected with each other, wherein the FPGA is taken as a lower computer and is provided with a human-machine operation interface programmed by C++ to perform synaptic strength connection change waveform and dynamical characteristic observation and parameter setting; the FPGA is used for implementing a mathematic model, and applying an external stimulate signal to a multilayer feedforward neural network and a synaptic connection model; the upper computer is applied to dynamics analysis such as parameter adjustment, synaptic change waveform observation, synaptic adaptive change and the like. The FPGA-based STDP synaptic plasticity experimental platform has the effects that on the basis of a high-speed operation FPGA neural synaptic plasticity computation platform, hardware modeling relative to a synaptic plasticity part among phenotype nerve cells is realized through a non-animal experiment of biological neural synaptic connection, the learning process can be stabilized effectively, and the consistence with real neuronal synapse plastic connection is achieved.
Owner:TIANJIN UNIV
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