217 results about "Model switching" patented technology

A method of creating and using an adaptive DMC type or other MPC controller includes using a model switching technique to periodically determine a process model, such as a parameterized process model, for a process loop on-line during operation of the process. The method then uses the process model to generate an MPC control model and creates and downloads an MPC controller algorithm to an MPC controller based on the new control model while the MPC controller is operating on-line. This technique, which is generally applicable to single-loop MPC controllers and is particularly useful in MPC controllers with a control horizon of one or two, enables an MPC controller to be adapted during the normal operation of the process, so as to change the process model on which the MPC controller is based to thereby account for process changes. The adaptive MPC controller is not computationally expensive and can therefore be easily implemented within a distributed controller of a process control system, while providing the same or in some cases better control than a PID controller, especially in dead time dominant process loops, and in process loops that are subject to process model mismatch within the process time to steady state.

The invention discloses a contextual model switching method based on a sensor group and a mobile terminal of the contextual model switching method. The contextual model switching method comprises the steps of A obtaining corresponding data collected by multiple sensors in different types in the sensor group in real time, B fusing the data of the sensors, and judging the state of the mobile terminal and the current environment where the mobile terminal is located, and C automatically switching contextual models of the mobile terminal according to the current environment, and executing a preset work model. According to the contextual model switching method based on the sensor group and the mobile terminal of the contextual model switching method, the sensor group provided with the sensors in different types is arranged in the mobile terminal, the corresponding data collected by the sensors are obtained in real time, the current environment where the mobile terminal is located is judged according to the data, therefore, the contextual models of the mobile terminal are automatically switched according to the current environment, the preset work model is executed, the proper contextual model can be automatically switched according to the current environment without the manual arrangement by a user, the user operations are greatly simplified, and the control over the mobile terminal is automated.

An adaptive multivariable process control system includes a multivariable process controller, such as a model predictive controller, having a multivariable process model characterized as a set of two or more single-input, single-output (SISO) models and an adaptation system which adapts the multivariable process model. The adaptation system detects changes in process inputs sufficient to start an adaptation cycle and, when such changes are detected, collects process input and output data needed to perform model adaptation. The adaptation system next determines a subset of the SISO models within the multivariable process model which are to be adapted, based on, for example, a determination of which process inputs are most correlated with the error between the actual (measured) process output and the process output developed by the multivariable process model. The adaptation system then performs standard or known model switching and parameter interpolation techniques to adapt each of the selected SISO models. After the adaptation of one or more of the SISO models, the resulting multivariable process model is validated by determining if the adapted multivariable process model has lower modeling error than the current multivariable process model. If so, the adapted multivariable process model is used in the multivariable controller.

A method of creating and using an adaptive DMC type or other MPC controller includes using a model switching technique to periodically determine a process model, such as a parameterized process model, for a process loop on-line during operation of the process. The method then uses the process model to generate an MPC control model and creates and downloads an MPC controller algorithm to an MPC controller based on the new control model while the MPC controller is operating on-line. This technique, which is generally applicable to single-loop MPC controllers and is particularly useful in MPC controllers with a control horizon of one or two, enables an MPC controller to be adapted during the normal operation of the process, so as to change the process model on which the MPC controller is based to thereby account for process changes. The adaptive MPC controller is not computationally expensive and can therefore be easily implemented within a distributed controller of a process control system, while providing the same or in some cases better control than a PID controller, especially in dead time dominant process loops, and in process loops that are subject to process model mismatch within the process time to steady state.

The invention discloses an indoor thermal environment control method based on model reduction and multi-model prediction control. The method includes the three main steps that firstly, a temperature variation section of an indoor user region is segmented, modeling is conducted on the equilibrium state position of each segment through computional fluid dynamics (CFD) software and the proper orthogonal decomposition (POD) technology, and a low-order linear building thermal environment in a multi-model type is reconstructed; secondly, multi-model switching time is reasonably selected through an optimization algorithm; thirdly, accurate control over the user region temperature is conducted on each sub model through a prediction control method. Low-order models of the building indoor thermal environment are constructed through the POD technology and the multi-model method, the influence of space distribution on the temperature variation can be fully taken into consideration in a temperature regulation strategy, and accuracy of indoor temperature control is improved. Compared with an existing temperature control strategy adopted in large space, the indoor thermal environment control method has the advantages that accuracy is high, and energy saving of a building is facilitated.

The invention relates to an automobile model switching mechanism of an automobile production line, and solves the defect that in the prior art, one welding clamp only can correspond to one automobile model, so that the automobile model switching is inconvenient, the switching operation is troublesome and disordered, and the work efficiency is low. The automobile model switching mechanism comprises a rotating platform, at least two sets of clamping and positioning mechanisms on the rotating platform, and a rotary driving mechanism fixed under the rotating platform, wherein the clamping and positioning mechanisms comprise frame bodies, clamping arms, positioning arms and driving units; the clamping arms and the positioning arms are hinged to the frame bodies; the driving units correspond to the clamping arms and the positioning arms respectively; and the rotary driving mechanism comprises a rotating shaft and a driving gear meshed with outer teeth of the rotating shaft. As the clamping and positioning mechanisms are arranged on the rotating platform, and the lower part of the rotating platform is arranged on the production line, one set of rails is shared, and the rotary driving mechanism drives the rotating platform to rotate, the fast switching between two or three sets of the clamping and positioning mechanisms on the rotating platform is realized, the efficiency is high, the structure is simple, no transfer rail is required to be arranged additionally, and the cost is reduced.

The invention provides a contextual mode switching method of a mobile terminal and the mobile terminal. The contextual model switching method includes detecting speed of the mobile terminal, comparing the detected speed with a preset speed threshold, determining a current motion state of the mobile terminal according to compared results, recording duration of the current motion state of the mobile terminal, comparing the duration with a preset time threshold, and switching the mobile terminal to a contextual mode corresponding to the current motion state of the mobile terminal according to preset corresponding relation when the duration is longer than or equal to the preset time threshold. Automatic switching of contextual modes of the mobile terminal is completed without human intervention.

Disclosed are an energy switching control method and an energy switching control system for a hybrid electric vehicle in multiple operating modes. The energy switching control method includes the steps: firstly, according to vehicle running environments and road conditions detected in real time by a vehicular GPS (global positioning system) and a sensor, and according to current running road condition information of the hybrid electric vehicle, determining the corresponding operating modes of the vehicle, wherein the operating modes specifically include an engine-driven operating mode, a motor-driven operating mode, an engine and motor hybrid driven operating mode and an energy feedback and regenerative brake operating mode; and then designing a multi-mode switching control rule for the driving modes in terms of the running road conditions, and designing corresponding controllers for the operating modes respectively. According to the running environments and the road conditions, the energy switching control method and the energy switching control system control the optimal vehicle driving modes so as to reduce emission of vehicle exhaust, save fuel oil consumption, accelerate development of environment-friendly vehicles and green vehicles and improve endurance of the hybrid electric vehicle.

The invention discloses a polyphase motor fault-tolerant control method and system based on a multi-neural-network inverse model in the field of motor control. The polyphase motor fault-tolerant control method comprises the following steps of: respectively acquiring a normal state inverse model and a fault state inverse module of a motor by adopting a neural network inverse model; selecting a corresponding inverse module and a current converter to be serially connected in front of a hysteresis current comparer by a current detection magnetic-chain observation inverse model switching module under a normal state or a fault state to obtain a constant pseudo-linear system; only considering to convert current of d axis and q axis of a stator, inversely output by the neural network after circuit-opening into four phases of reference current, and only adjusting phase relationships of the rest four phases of current; and when motor model parameters changes because the motor has a fault, approaching to a motor inverse system still accurately without the need of correcting control parameters of additional controllers again. According to the polyphase motor fault-tolerant control method and system disclosed by the invention, the adaptability of a fault-tolerant controller to the winding fault of the motor is improved, and the requirements and the circuit cost of an inverter power device are reduced; and the polyphase motor fault-tolerant control method and system have stronger fault tolerance and robustness.

The invention provides a multi-model generalized predictive control system and a performance evaluation method thereof. A plurality of fixed models and two self-adaptation models are adopted to parallelly identify dynamic characteristics of a system, optimal partial models are switched at each sampling instant to serve as current models based on performance indexes, optimal controllers are designed to control, and a minimum variance standard performance evaluation method is adopted to conduct performance evaluation on the multi-model switched generalized predictive control system. Compared with the traditional single-model generalized predictive control system, the multi-model switched generalized predictive control is adopted in a system for treating procedure parameter hopping, transient state performance of the system is improved, transient state errors are removed, and stability of the system is guaranteed.

The invention discloses a display mode switching method and device, and belongs to the field of mobile terminals. The method comprises the following steps of: obtaining a first display mode of an operation system; and when the first display mode of the operation system is a night mode, switching a second display mode of an application program which is currently displayed on a screen into the night mode through a predetermined manner, wherein the predetermined manner comprises converting a first-class element in an user interface of the application program into a predetermined tone and / or adding a map layer with a predetermined transparency on a second-class element in the user interface of the application program, and the predetermined hue is a tone corresponding to the night mode. According to the method and device, the problem that the user vision is harmed as the manual adjustable range of screen brightness is limited and relatively high comparison exists between a white or light-colored area displayed on the screen and dark light environment even the brightness is adjusted manually to the lowest brightness, thereby achieving the effects of reducing the comparison between the screen light and the dark environment, decreasing the light stimulation and protecting the user vision.

The invention discloses a moving platform adaptive expansion target tracking system and method based on a laser radar. The system comprises global positioning, local map generation, target detection and identification, motion target classification and adaptive tracking modules, wherein the global positioning module is used for acquiring the real-time position and the motion state information of amoving platform, the local map generation module is used for generating a local map corresponding to the present position according to laser radar data, the target detection and identification moduleis used for carrying out clustering and characteristic extraction processing of the local map at the present time and detecting and identifying a motion target, the motion target classification moduleis used for classifying targets into an expansion target and a point target, and the adaptive tracking module is used for realizing hybrid tracking of the expansion target and the point target at thesame time and realizing same target adaptive tracking model switching at different times. The system is advantaged in that extended target tracking is performed to enhance the target tracking effect,and mobile platform environment perceptual performance and adaptation capability are improved.

The invention discloses a combination navigation filtering method of a multi-model underwater vehicle. The navigation filtering method provided by the invention comprises the following steps of firstly establishing a state equation, an observation equation and a noise equation of a SINS / DVL / TAN / MCP combination navigation system according to a underwater vehicle combination navigation system; determining a model set according to a system equation and a noise model; selecting characteristic variable from the combination navigation system, and establishing a bayesian network; and correcting the model switching probability in multi-model estimation by adopting a bayesian network parameter according to a multi-model filtering algorithm structure, and calculating the estimation fusion of a filter in a weight sum manner. The data processing and resolving operations of the combination navigation are finished by a navigation computer according to a filtering model and an algorithm flow of the combination navigation system. The navigation filtering method provided by the invention has the advantages of being capable of improving the filtering accuracy of the combination navigation system under a complicated environment, and strengthening an autonomous navigation positioning property of the underwater vehicle.

Disclosed is a fuzzy adaptive pictorial information digitizer (PID) control method of a motor train unit based on multi-model switch. According to the method, a data driving modeling method is proposed according to collected running process data of the motor train unit and field experience knowledge, the number of braking models is determined by means of subtraction cluster, and then a plurality of partial linear models describing a braking process of the motor train unit are established. The partial linear models adopt the recursive least-squares method to identify model parameters. At each sampling moment, an optimal partial model is selected based on the multi-model switch strategy, and the fuzzy adaptive PID control algorithm is adopted to control the braking process of the motor train unit, and therefore safe, punctual and effective running of the motor train unit is achieved. The multi-model adaptive PID control of the braking process of the motor train unit is simple, practical, capable of achieve multi-purpose control of the braking process of the motor train unit, and suitable for on-line monitoring and automatic control of the braking process of the motor training unit.

The invention discloses a contextual model switching method and system for a mobile phone. The method comprises the steps of starting a set program for switching contextual models of the mobile phone; enabling the mobile phone to recognize a face image of the current mobile phone user through an image acquisition module and extract image facial expression features from the face image; comparing the image facial expression features extracted by the mobile phone with image facial expression features stored in an image feature data base; and setting corresponding contextual models of the mobile phone according to results of matching between the image facial expression features extracted by the mobile phone and the image facial expression features stored in the image feature data base. By means of the contextual model switching method and system for the mobile phone, the face image of the mobile phone user can be obtained through the image recognition technology, the image facial expression features are extracted from the face image, and the contextual models of the mobile phone are changed with the image facial expression features serving as comparison elements, so that the complexity caused by traditionally switching the contextual models of the mobile phone through keys is avoided, operation of switching the contextual models of the mobile phone is greatly simplified, and intellectuality of the mobile phone and operation interest of the user can be improved.

The invention relates to an in-plane-control-based active vibration control method for a wrinkled film. On the basis of the analysis on the influence on dynamic characteristics of a film structure bya wrinkle form, a dynamic model of a wrinkled film is established; according to a modal superposition method, a space vector based on a natural mode of vibration is obtained and dynamic models of thewrinkled film under different loads are established; condensation polymerization is carried out on the dynamic models according to contributions to system vibration deformation by all orders of modes,so that a control-oriented film structural dynamic model is established; and with a model reference adaptive controller, a PID-MRAC control method based on in-plane-control multi-model switching is proposed. According to the method provided by the invention, no actuator needs to be pasted on the surface of the film; the out-of-plane vibration of the film is suppressed effectively; the characteristics of the film are not affected; the high stability of the film structure is ensured; and compared with the conventional PID control method, the in-plane-control-based active vibration control method enables the vibration time to be shortened by about 39.7%.

A driverless automobile virtual test platform comprises a driverless simulation system, a virtual driverless test automobile, a data management module, a simulation control module and an interface calling module. The driverless simulation system is used for simulating the driving process of the driverless vehicle in the virtual environment according to the test requirement of the user on the virtual driverless test vehicle. The data management module is used for managing an automobile model and a scene model in the virtual test platform and comprises a test scene database, an automobile modeldatabase and a simulation control database. The simulation control module is used for binding corresponding motion parameters to the automobile model and establishing an unmanned virtual automobile dynamic model. The interface calling module comprises a system interface, a vehicle model switching interface, a scene switching interface and a parameter display interface. On the premise that the performance of the pilotless automobile is not affected, field testing is partially replaced, method and theoretical guidance are provided for field testing, the development period is shortened, and fundsare saved.

The invention provides a contextual model handling method and a contextual model handling device based on near field communication (NFC) under an enterprise environment and belongs to the field of intelligent contextual model handling. A system achieved by the method is deployed in the enterprise environment and according to different functional environments of an enterprise. The system is composed respectively of a contextual managing module, NFC fixed devices and a contextual model switching module of an NFC mobile device, wherein the contextual managing module is used for conducting area identification management and contextual model preset management on the NFC fixed devices deployed in different areas of the enterprise environment, the NFC fixed devices are deployed in connection areas among the different areas of the enterprise environment and achieve automatic detecting of the NFC mobile device and changing of contextual models of the NFC mobile device, and the contextual model switching module of the NFC mobile device is installed in the NFC mobile device and achieves automatic switching of the contextual models of the device. Compared with the prior art, the contextual model handling method and the contextual model handling device aim at the enterprise environment to be deployed and are beneficial for improving enterprise environment management.

An encoding method and an encoding apparatus for increasing compression efficiency using model switching in motion estimation of a sub-pixel are provided. The encoding method includes obtaining a motion vector of a pixel existing on a block, generating a plurality of motion estimation models using a value of the motion vector, comparing estimation errors of the plurality of motion estimation models with one another, and selecting one motion estimation model which has a smaller estimation error according to the comparing of the estimation errors, and performing sub-pixel motion estimation using the selected motion estimation model.

The invention discloses a modeling based on a piecewise-linear system of a hybrid system theory and a control method, and belongs to the field of automatic control. All segmented models of the piecewise linear system can be integrated in an uniform frame so as to accurately describe the interaction of a model switch event and a continuous dynamic process, thereby being beneficial to eliminating vibration caused by the model switch; and a linetype performance index is adopted to replace traditional quadratic performance index to forecast controller design, and an OPC (organic photoconductor) client end program independently developed by Matlab is utilized to realize the integration of mixed prediction control algorithm and a DCS (data communication system) control system.

The invention discloses a space target falling multi-model tracking guiding technology. The space target falling multi-model tracking guiding technology comprises the steps of analyzing a space targetfalling forecast principle, syntheticallyusing a plurality of atmosphere models, combining an observation station tracking arc segment to calculate an atmosphere coefficient of drag CD, and combiningradar measuring data to correct the atmosphere coefficient of drag CD and a falling forecast calculation. The space target falling multi-model tracking guiding technology is scientific and reasonable, is safe and convenient in utilization, combines orbit dynamicscharacteristics of a falling target and adaptive ranges of the various atmosphere models, adopts methods of atmosphere model switching and damping factor discrete solution to perform falling forecasts, improves the accuracy of the falling forecasts and can be further adapted to calculation and forecast of a super-low orbit, and combines a tracking arc segment to perform CD value estimation.A discrete variation of a CD value accords with a variation trend of measured atmosphere as far as possible, the multiple atmosphere models aresynthetically used in the quick guiding process, the atmosphere models are replaced along with the change of heights, and according to the space target falling multi-model tracking guiding technology, errors of the space target falling forecastsare reduced to less than 10%.

A face model providing portion provides an stored average face model to an estimation portion estimating an affine parameter for obtaining a head pose. An individual face model learning portion obtains a result of tracking feature points by the estimation portion and learns an individual face model. The individual face model learning portion terminates the learning when a free energy of the individual face model is over a free energy of the average face model, and switches a face model provided to the estimation portion from the average face model to the individual face model. While learning the individual face mode, an observation matrix is factorized using a reliability matrix showing reliability of each observation value forming the observation matrix with emphasis on the feature point having higher reliability.

The utility model discloses a switching method between the daytime / night modes based on the digital television, aiming at providing a switching method between the daytime / night modes based on the digital television, which is able to switch between the daytime / night modes according to the start-up time to save electricity. The method comprises the following steps: setting up the critical time between the daytime the night, extracting the current time from the TDT table and the TOT table of the digital code flow, judging the daytime mode and the night model switching to the corresponding mode. When starting the television by means of the switching method, the starting mode is determined according to the current time information carried in the digital code flow and the picture brightness and the volume are automatically adjusted, so as to reach the purpose of saving electricity. Meanwhile, the utility model does not affect others and enhance the humanization of the television. The starting mode can be automatically adjusted, thus relieving the users from repetitive operations and providing great convenience for use .

The invention discloses a force / position switching control method of joints of a single leg of hydraulic four-leg robot. The control method comprises fuzzy control and multi-model control. The method comprises steps of carrying out segment control on the movement of the robot; carrying out joint force control when a foot end of the robot touches the ground so as to reduce impact and disturbance generated by touch between the foot end and the ground; and carrying out joint position control when the foot end of the robot gets away from the ground so as to achieve precise position of the robot. However, transition from no touch to touch or from touch to no touch between the robot and the ground is finished via force / position switching control, and harmful effects such as jumping of system parameters and shaking of the system when a robot system carries out the force / position switching will be produced. According to the invention, switching of control between force and position is finished via the fuzzy multi-model switching algorithm, so stable transition is ensured; and shaking generated during the force and position switching process can be effectively reduced and control precision is quite high.

The invention discloses a fuel cell anode pressure dynamic matrix control method based on multi-model feedforward. A proton exchange membrane fuel cell is regarded as a three-input one-output multivariable object, object input includes a path of controlled quantity and two paths of disturbance quantities, a step response model of an output quantity to the controlled quantity and the disturbance quantities is identified at different steady-state operating condition points, and in control, an identification model for calculating a control increment and a corresponding DMC controller are switchedaccording to the actual operating condition of the fuel cell, thereby ensuring optimality of controlled quantity output. Compared with traditional predictive control, the method provided by the invention is applicable to a wider operating condition range, and disturbance is small during model switching. In addition, the method can also effectively suppress influence of a vent valve position and load current disturbance, control an anode pressure tracking set value, reduce differential pressure stress on the proton exchange membrane, prolong the service life of the proton exchange membrane, and ensure efficient, stable and safe operation of the fuel cell.

A servo turnable controller based on a non-linear switching system is characterized in that a multi-model switching system is led into precise modeling and controlling of a servo turnable, global on-line rolling optimization calculation comprising a linear sub system and a non-linear sub system is adopted, a prediction function controller is applied to any sub controller, local prediction function controllers u2(k) and u4(k) are directly applied to linear models 2 and 4 shown as the formula, and non-linear prediction function controllers u1(k) and u3(k) are applied to non-linear models 1 and 3. As for specific turntables of other models, according to specific situations of non-linear factors, the modality of the switching system and the controllers based on sub system models can be increased, and operation methods are the same as the presented portion.

Embodiments of the invention provide a terminal horizontal / vertical screen switching method and device, relate to the technical field of communication, and mainly aim at solving the problems of complicated operation, tedious steps, relatively low efficiency and the like in the prior art so as to improve the terminal screen display model switching efficiency. The technical scheme adopted by the embodiments of the invention is that the method comprises the following steps of: firstly determining a position state of a screen of a terminal; if the position state of the screen of the terminal changes, displaying a first control, a second control and a third control in the screen of the terminal; and in response to a selection operation of a user, triggering the terminal to execute a control operation corresponding to a control appointed by the selection operation according to the control. The method and device provided by the invention are mainly used for the horizontal / vertical screen switching of terminals.

The invention discloses a system and a method for automatically switching a contextual model. The method comprises the steps of positioning a current position of a mobile terminal by utilizing a GPS (Global Positioning System) module and obtaining a GPS positioning signal sent by a GPS positioning satellite; performing analyzing treatment for the obtained positioning signal so as to obtain current position information of the mobile terminal; analyzing the obtained position information and sending a corresponding control signal to a contextual model switching unit based on an analysis result; and performing automatic switching based on a preset corresponding contextual model by a contextual model switching unit under the control of the control signal. According to the system and the method for automatically switching the contextual model, the problem that a user is required to set the contextual model of the mobile terminal manually at the current time can be solved, and convenience is brought for a user to use.

Embodiments of the present invention address deficiencies of the art in respect to threading model switching between asynchronous I / O and synchronous I / O models and provide a novel and non-obvious method, system and computer program product for autonomic threading model switching based upon I / O request types. In one embodiment, a method for autonomic threading model switching based upon I / O request types can be provided. The method can include selectably activating and de-activating a blocking I / O threading model according to a volume of received and completed blocking I / O requests.