143 results about "Model dynamics" patented technology

A method and apparatus for dynamic modeling of an object having material points. The method includes receiving signals from a sensor which correspond to respective material points; providing a volumetric model, having functions as parameters, representative of the object; and adapting the parameters to fit a changing model shape. This method of dynamic shape modeling dynamic motion modeling or both includes shape estimation and motion analysis. The apparatus includes a signal processor for receiving signals from a sensor, a second signal processor for providing a volumetric model having functions as parameters representative of the object and a third signal processor for receiving sensed signals and adapting the model and providing a dynamic representation.

The present invention models dynamic behavior of flight vehicles for simulation, analysis, and design. The present invention allows a user to define the complexity of a flight vehicle model, and such models may be simple rigid body models, models of medium complexity, or very complex models including high order dynamics comprising hundreds of structural flexibility modes and variables related to aero-elasticity, fuel sloshing, various types of effectors, tail-wags-dog dynamics, complex actuator models, load-torque feedback, wind gusts, and other parameters impacting flight vehicles. The present invention accommodates and analyzes multiple vehicle and actuator concepts and configurations as defined in flight vehicle input data, which specifies flight vehicle parameters at a steady-state condition for modeling flight vehicle response to dynamic forces and flight control commands with respect to steady state operation.

The present invention provides a model for assessing performance of a dynamic collaborative relationship. The present invention provides a method of modeling dynamic relationships by inputting data related to the collaborative relationship into a model, which comprises a plurality of components key to the collaborative relationship. Each of these components is interrelated with the model, and the model generates a value indicative of a condition or performance of the relationship. The relationship value can be analyzed by comparison with baseline values correlated to exemplary collaborative relationships. The present invention further provides methods of developing a model capable of assessing dynamic collaborative relationships.

The invention discloses a wind power plant parameter identification and dynamic equivalence method based on operation data, comprising the following steps of a) performing recognition on wind generation set control model parameters based on testing data, b) combining with operation data and choosing characteristic variables reflecting the wind generation set and the wind power plant under influence and utilizing the improved fuzzy K average value dynamic clustering algorithm to perform cluster division, c) performing network simplification and parameter optimizing to obtain a wind power plant dynamic equivalence model based on global optimal position mutation particle swarm algorithm, and d) under disturbance input, comparing the wind power dynamic equivalence model with the detailed model dynamic respond to verify the validity of the equivalence model. The wind field dynamic equivalence model constructed by the invention can accurately reflect the dynamic characteristics of grid-connection points of the wind plant and have important construction application values, and can be used in the analysis of the stability of the double-fed wind power plant access power system and provide theory support for the programming and operation scheduling of the wind power plant power system.

The invention discloses an intelligent transformer station configuration file standardized management system comprising a server terminal which is arranged in a scheduling department and configuration management client-terminals which are arranged in all intelligent transformer stations. The multiple configuration management client-terminals are communicated with the server terminal via a scheduling data network. Management flow of an SCD file is standardized, the intelligent transformer station SCD file can be locally analyzed, and the SCD file can be verified via auxiliary verification functions like shema verification, model static verification and model dynamic verification so that correctness, rationality and integrity of the SCD file are ensured. Besides, the SCD file of each intelligent transformer station is uploaded to the server terminal to be managed in a unified way so that an effective tool for managing and inspecting a configuration file is provided for a transformer station operation maintenance unit, proper use of the configuration file in the processes of construction, acceptance, operation maintenance and enlargement of the intelligent transformer stations is facilitated for basic technical personnel, reliable operation of the intelligent transformer stations is ensured, and thus the system can be widely applied to all levels of electric power scheduling centers.

The present invention discloses an intelligent monitoring method for the real-time trace of a moving target region, comprising a video input device, a visual analysis system and a network input-output device. In order to track the moving target in high real time and at high precision, the system adopts a target track algorithm which is based on the model dynamic switching, adopts a simple quick model, which is based on the region trace, according to the effective determination of a shielding state, for a single moving target that is not shielded, and adopts a narrow baseline image matching model, which is based on the SIFT feature, for compound motion targets which are mutually shielded. The system has the advantages of simple structure, high real time performance, high precision, and strong expandability, and the advantage that the system has cable Ethernet and wireless GPRS multiple network access facility and effectively realizes the real time trace function for the moving target region.

A method, apparatus, and computer program product for modeling dynamics of a queue are disclosed. A queue law function can be used to determine a control function for use in a congestion control module in a network for dropping packets. A queue law function may be determined based upon traffic conditions in the network. First a quantity that is representative of the link utilization between first and second nodes is determined. If the link is fully utilized, a quantity that is representative of an average round transmission trip time for data to be sent from the first node to the second node and an acknowledgment to be received by the first node is calculated. The queue law function which is dependent on a data drop probability based upon the link utilization, the buffer size, and the average round trip transmission time is determined. From this queue law function, parameters for defining a control function can be derived. These parameters include the minimum buffer size and the maximum expected queue size during normal operation for the node.

The invention discloses an attitude control method and system for a quad-rotor aircraft based on an auto-disturbance rejection control technology, and can effectively improve the robustness of the attitude control of the quad-rotor aircraft. The method comprises the following steps of using auto-disturbance rejection control to implement angular velocity loop control in attitude control; in an auto-disturbance rejection controller, obtaining given angular velocity and angular acceleration after performing smooth noise reduction on a given angular velocity signal by a tracking differentiator; adopting a second-order extended state observer, and performing observation and estimation on the state of each order of the angular velocity control model, internal and external disturbances acting onthe model and the sum of system un-modeled dynamics by using the feedback angular velocity of the controlled object and the control quantity u(t-tau) added to the motor response delay; using the difference between the output quantity of the observer and the given quantity to obtain a preliminary control quantity through the calculation of a nonlinear control rate, using the disturbance estimationquantity obtained by the observer to perform compensation on the basis of the preliminary control quantity, and obtaining the final output control quantity u(t).

The invention provides a position-locking shooting method and device for carrying out particle image velocimetry (PIV) measurement under model dynamic pitching. In the method, a PIV is used to fix a PIV camera and a laser sheet at an angle to be shot, and when a model moves to a specific location, the PIV is triggered to measure. A mechanism for fixing the camera and the head of the laser sheet is a mobile support system, the system uses the transitions of horizontal degree of freedom and vertical degree of freedom and the rotation of a degree of freedom to stimulate the circular motion around the center of rotation of the model, and can change the radius of the circle in a stepless mode, and the relative position of the camera and the sheet remains unchanged by using a follow-up method of the camera and the sheet, thereby avoiding repeated demarcation and improving the experimental efficiency; and the motions of the three degrees of freedom can be controlled by a stepping motor which is controlled by a computer program, thus realizing full automation of position adjustment of the camera and the sheet.

A multi-model generalized predictive control system based on dynamic optimization comprises a dynamic optimization layer, an MPC layer and a basic control layer. The dynamic optimization layer is located in the upper layer and calculates the optimization value of a critical control variable as the optimal set value of the MPC layer; the MPC layer is located in the lower layer and adjusts a to-be-optimized variable based on a rolling optimization prediction algorithm on the condition that the to-be-optimized variable satisfies a model dynamic behavior, thereby tracking the optimal set value obtained in the S1; the basic control layer is located in the bottom layer and transmits the final optimization value of the to-be-optimized variable to an actuating mechanism. According to the present invention, the cost consumption of the system is reduced, the economic benefit of the system is improved, the transient performance and the model parameter jump adjusting capability of the system can be improved, at the same time, the interference of disturbance on the output of the system can be eliminated effectively.

The multi-model dynamic matrix feeding amount control method for coagulation system in waterworks features that dynamic matrix predicting controller is constituted based on comprehensive multi-model dynamic matrix control theory and by means of using raw water flow rate as the control target, separating the whole system into several subspaces and separate experiments to obtain sectional linear models of the subspaces; and that outflow water turbidity is controlled through determining the dynamic model of the system, predicting the outflow water turbidity, weighting treatment to obtain overall control increment and regulating the feeding amount based on the current work conditions, practical water flow rate and certain weighting police. The present invention can ensure smooth outflow water turbidity, system running economic performance, high robustness and low cost.

The invention discloses an internet-of-things-based mining dynamic real-time monitoring method and system. The system comprises a mine original model construction module, an underground mining activity trajectory coordinate acquisition module, an underground mining activity trajectory coordinate filtration module, an actual mining range automatic forming module and a reserve model dynamic construction module. According to the method, an internet-of-things technology is utilized, underground real-time mining trajectory data is acquired, null spots in original gob and roadway are eliminated by using a mode that the graph and expression in geometry math are combined, then a convex model is constructed in combination with effective point data and solid Boolean operation is performed in combination with an ore body block-section model constructed by original check information, and meanwhile related ore body block-section reserve information is associated. By using the method and the system, a mine underground real-time mining condition can be conveniently monitored by a mine supervision department, a mine enterprise can also browse the underground actual mining condition, a mining plan is formulated, rational personnel distribution and scheduling are realized, and effective utilization of resources is realized.

The invention discloses a protocol conversion server based on an OPC UA (optical proximity correction unified architecture) standard and an ATS (automatic train supervision) system. The server comprises an information model building unit for building an information model of the ATS system according to information of the automatic train supervision (ATS) system, a dynamic linking library generation unit for leading out the information model of the ATS system to generate a model type library which is compiled to be an ATS model dynamic library, and a protocol conversion unit for converting the ATS model dynamic library from an ATS system protocol into a point list meeting the OPC UA standard through a software development kit SDK of the OPC UA standard according to a preset ATS system protocol analysis library. According to the protocol conversion server based on the OPC UA (optical proximity correction unified architecture) standard and the ATS (automatic train supervision) system, a standardized communication protocol is realized, combination among all systems of a rail transit is facilitated, and intelligence of the rail transit and secure transmission of communication data can be realized favorably.

The invention comprises a learned model of human body shape and pose dependent shape variation that is more accurate than previous models and is compatible with existing graphics pipelines. Our Skinned Multi-Person Linear model (SMPL) is a skinned vertex based model that accurately represents a wide variety of body shapes in natural human poses. The parameters of the model are learned from data including the rest pose template, blend weights, pose-dependent blend shapes, identity-dependent blend shapes, and a regressor from vertices to joint locations. Unlike previous models, the pose-dependent blend shapes are a linear function of the elements of the pose rotation matrices. This simple formulation enables training the entire model from a relatively large number of aligned 3D meshes of different people in different poses. The invention quantitatively evaluates variants of SMPL using linear or dual-quaternion blend skinning and show that both are more accurate than a Blend SCAPE model trained on the same data. In a further embodiment, the invention realistically models dynamic soft-tissue deformations. Because it is based on blend skinning SMPL is compatible with existing rendering engines and we make it available for research purposes.

The invention discloses an automatic parking locus optimization method based on a full-simultaneous dynamic optimization framework, and brings forward a vehicle-environment integrated modeling dynamic optimization framework based on full-simultaneous solution strategy, for the purposes of solving the problem of safe parking at a narrow parking space within shortest time due to fast rhythm of cities, effectively eliminating influences exerted by different parking space shapes on locus planning strategies and optimizing a safe bump-free locus which has nonholonomic constraints and satisfies low-speed parking of vehicles within the shortest time. The method provided by the invention is crucially characterized in that vehicle-parking space obstacle avoidance integrated modeling is realized by use of an MPCC mathematic optimization technology, and at the same time, can optimize correlation indexes of vehicle kinetics and dynamics. According to the method, control information such as the speed, the front-wheel corner, the accelerated speed, the front-wheel angular velocity and the like of a vehicle tracking optimization locus can be directly obtained, and actual parking assistance is facilitated.

The invention belongs to the technical field of a geographic space information system, and particularly relates to an inclination model and multivariate model dynamic fusion-based adaptive network visualization method. According to the inclination model and multivariate model dynamic fusion-based adaptive network visualization method provided by the invention, by performing dynamic fusion operation on an inclination model and a multivariate model, the difficult problem of multi-granularity three-dimensional scene fusion modeling of a local fine independent entity model and a large-range inclination model as data sources is solved; and meanwhile, through efficient massive inclination model and multivariate model organization, scene service release and adaptive visualization, complex three-dimensional scene adaptive visualization display for multiple user terminals in a network environment is realized.

A multi-model dynamic soft measuring modeling method comprises the steps of establishing multiple sub models by utilizing a self-adaptive fuzzy core clustering method and a least square support vector machine; then taking a probability distribution function constructed by a proof synthesis rule as a weight factor to perform fusing on sub model output to obtain the output of multiple models; finally performing dynamic estimation on predicted errors of the multiple models by combining an autoregression moving average model.

The invention relates to a work flow model dynamic segmentation method which supports distributed implementation, which pertains to the technical field of enterprise work flow model segmentation. The invention is characterized in that: the method is realized in each set of work flow system which is composed of a server and a client; the server is provided with a modeling module, a divided piece pool module, a divided piece management module, an activity monitoring module, an activity distribution module and a database, the client is provided with a task client module; wherein, the divided piece pool module sends the set work flow model in the modeling module to the divided piece management module, the divided pieces which are obtained by the dynamic segmentation of the model are sent to the divided piece pool module for the use by the task client module; the function of the activity distribution module is to provide actual implementation station labels for the activities, or designate the actual implementation station labels for the follow-up activities of the new divided piece after segmentation; and the activity monitoring module is used for dynamic recording of the various activities which are implemented by the actual implementation stations. The invention proposes the work flow model dynamic segmentation and implementation method, which has a broad application prospect.

Systems and methods are provided for improving language models for speech recognition by adapting knowledge sources utilized by the language models to session contexts. A knowledge source, such as a knowledge graph, is used to capture and model dynamic session context based on user interaction information from usage history, such as session logs, that is mapped to the knowledge source. From sequences of user interactions, higher level intent sequences may be determined and used to form models that anticipate similar intents but with different arguments including arguments that do not necessarily appear in the usage history. In this way, the session context models may be used to determine likely next interactions or "turns" from a user, given a previous turn or turns. Language models corresponding to the likely next turns are then interpolated and provided to improve recognition accuracy of the next turn received from the user.

The invention provides an urban road intersection holographic three-dimensional dynamic analysis method which comprises the following steps that (1) a three-dimensional space-time track of motor vehicles at an intersection is drawn utilizing time and space coordinates of the motor vehicles; (2) section analysis is carried out on the three-dimensional space-time track of the motor vehicles; (3) a space-time utilization rate model of the intersection is built according to a section analysis result, and operation efficiency of the intersection is analyzed according to the motor vehicle space-time utilization rate. According to the model dynamic analysis method, the concept of the motor vehicle three-dimensional space-time track is introduced, the urban road intersection motor vehicle three-dimensional space-time track is drawn from the aspect of the motor vehicle space-time resource occupation state, the motor vehicle three-dimensional space-time track can be used for displaying and analyzing the motor vehicle operation state within the whole intersection range at the same time, and therefore the urban road intersection holographic three-dimensional dynamic analysis model is built to evaluate the motor vehicle space-time utilization rate and the operation efficiency of intersections.

The invention provides a self-adaptive neural network automatic berthing control method for an underactuated ship. According to the method, an additional control method is adopted for solving the difficulty of design of an underactuated controller; uncertain ship model dynamic parameters and unknown disturbance vectors are reconstructed by utilizing a neutral network self-adaptive method of navigation dynamic depth information, the neutral network weight, approximate error and disturbance quantity are taken as complex uncertain parameters to be estimated on line, the problem that since disturbance and approximate error are separated to be processed, the unknown disturbance input cannot directly approach and the coupling property to the system is neglected is solved, the uncertain couplingproperty is considered, also the design conservatism is reduced, and also the system computation load is reduced; the input saturation of rudder and paddle executors are considered in the controller,and dynamic technology and minimum study parameter methods are introduced, so that the provided control method is more convenient, and the engineer is easy to realize.

An electronic system is provided that simulates a glucose-insulin metabolic system of a T2DM or prediabetic subject, wherein the system includes a subsystem that models dynamic glucose concentration in a T2DM or prediabetic subject, including an electronic module that models endogenous glucose production (EGP(t)), or meal glucose rate of appearance (Ra(t>>, or glucose utilization (U(t)), or renal excretion of glucose (B(t)), a subsystem that models dynamic insulin concentration in said T2DM or prediabetic subject, including an electronic module that models insulin secretion (S(t)), an electronic database containing a population of virtual T2DM or prediabetic subjects, each virtual subject having a plurality of metabolic parameters, and a processing module that calculates an effect of variation of at least one metabolic parameter value on the glucose insulin metabolic system of a virtual subject by inputting the plurality of metabolic parameter values.

The invention provides a rapid intersection method for STL (stereo lithography) models of products, and belongs to the technical field of reverse engineering of products. The method is characterized in that an STL model dynamic index structure is built based on the R*-tree; the intersection range is rapidly narrowed through the intersection detection of index node bounding boxes; an intersecting triangle patch bounding box set is accurately positioned, and topological K-nearest neighbor sorting of the set is carried out; and the intersecting line sections of triangular mesh surface models in all the bounding boxes are connected in sequence, so as to rapidly extract the intersecting lines of the surface models. Examples prove that the method can effectively improve the intersection efficiency of STL surface models with intensive data and complicated shapes, and is of great significance for the clipping and splicing of the triangular mesh surface models and numerically-controlled tool path generation in reverse engineering.

The invention discloses a fuzzy-intelligence-based rail traffic car suspension system fault analysis method. The method comprises the steps that 1, a rail traffic car suspension system model is constructed, and dynamic characteristic analysis is performed on the model; 2, according to the dynamic characteristic analysis result of the rail traffic car suspension system model, an acceleration sensor is arranged; 3, multiple data time domain and frequency domain characteristics collected by the acceleration sensor are extracted, and distance characteristics are extracted through power spectrum analysis; 4, dimension reduction processing is performed on an original characteristic sample in the step 3, and a fault characteristic sample is obtained; 5, on the basis of the fault characteristic sample, fuzzy intelligence is utilized for performing fault classification on the car suspension system. According to the scheme, the defect that time frequency domain characteristic indexes describe signal changes from a certain aspect of a time domain or a frequency domain is overcome, meanwhile, meanwhile, the defects that time frequency domain characteristic indexes are easily added and average calculating operation submerge difference characteristics are obtained are overcome, and the characteristic sample quality is improved.

The invention relates to a spacecraft anti-interference attitude control method in a condition of a damaged actuating mechanism. The method provides a spacecraft anti-interference attitude control system for conditions that a spacecraft actuating mechanism is physically attacked by an opponent in a space confrontation and a spacecraft platform has an external environment interference and a systemnon-modeling dynamic influence. The method includes: firstly, establishing a spacecraft attitude control system model in conditions of the damaged actuating mechanism, the external environment interference and the system non-modeling dynamic influence; then designing an interference observer, and estimating an equivalence interference caused by the external environment interference and the systemnon-modeling dynamics; designing a learning observer for an actuating mechanism failure fault, caused by an attack, of the actuating mechanism, and reconstructing the actuating mechanism fault; and finally designing a composite controller according to an equivalence interference estimate and actuating mechanism fault reconstruction information, and constructing the spacecraft anti-interference attitude control method in the condition of the damaged actuating mechanism. The method is applicable to high-precision and high-reliability control of the spacecraft attitude control system.

The invention belongs to the technical field of rare earth cascade extraction automatic control, and particularly relates to a rare earth extraction process dynamic operating control method based on data driving. A soft measurement model with rare earth element component content is established by using an LSSVM (least square support vector machine), a cluster-based LSSVM sparsity improvement method and an LSSVM model dynamic updating method are provided, and a dynamic operating optimizing method for the rare earth extraction production process is provided based on the improved LSSVM so as to determine the optimum adjustment amount of various control variables during disturbance, so that dynamic and precise control over the rare earth element component content is realized, and further the quality of rare earth products is improved. The method can be used for stably improving the quality of the rare earth products.