3694 results about "Control models" patented technology

A general programmatic interface-to-network messaging adapter exposes a suitable object integration interface or application programming interface to applications on a controller device and sends network data messages to invoke services or query status of a controlled device. The adapter maps application calls to the interface into network data messages according to service protocols of the controlled device. The general adapter provides the interface suitable to any specific service of a controlled device based on a data description of the interface, and converts the application calls to network data messages based on a data description of a protocol and format for network data messages to interact with the specific service. Once the interface / messaging description is obtained, applications on the controller device can programmatically interact with the adapter, and the adapter then handles appropriate message exchanges with the service of the controlled device. The general adapter allows controller device applications to be written using object-oriented programming, while avoiding code download.

Controlled devices according to a device control model maintain a state table representative of their operational state. Devices providing a user control point interface for the controlled device obtain the state table of the controlled device, and may also obtain presentation data defining a remoted user interface of the controlled device and device control protocol data defining commands and data messaging protocol to effect control of the controlled device. These user control devices also subscribe to notifications of state table changes, which are distributed from the controlled device according to an eventing model. Accordingly, upon any change to the controlled device's operational state, the eventing model synchronizes the device's state as represented in the state table across all user control devices.

A device control model provides an integrated set of addressing, naming, discovery and description processes that enables automatic, dynamic and ad-hoc self-setup by devices to interoperate with other devices on a network. This permits a computing device when introduced into a network to automatically configure so as to connect and interact with other computing devices available on the network, without a user installation experience and without downloading driver software or persisting a configuration setup for connecting and interacting with such other computing devices. Upon completing interaction with such other devices, the computing device automatically releases the setup for such other devices so as to avoid persistent device configurations that might create a configuration maintenance and management burden.

A method and corresponding tool are described for security policy management in a network comprising a plurality of hosts and at least one configurable policy enforcement point. The method, comprises creating one or more policy templates representing classes of usage control models within the network that are enforceable by configuration of the policy enforcement points; creating one or more policy instances, each based on one of the templates and instantiating the template for identified sets of hosts within the network to which the usage control model is to be applied, deploying the policy instances by generating and providing one or more configuration files for provisioning corresponding policy enforcement points within the network. Access to the templates and policy instances is controlled so that the policy templates are only modifiable by a first predeterminable user group, the policy instances are only modifiable by the first or a second predeterminable user group and the policy instances are only deployable by a third predeterminable user group.

The invention relates to a micro-interface enhanced reactor bubble scale structure-activity regulation and control model building method. The diameter dmax of the largest bubble of a micro-interface enhanced reactor and the diameter dmin of the smallest bubble of the micro-interface enhanced reactor serve as independent variables, the average diameter d32 of the bubble Sauter serve as a dependentvariable, and a numerical relationship is built; based on the Kolmogorov-Hinze theory, the relationship between the diameter dmax of the largest bubble of the micro-interface enhanced reactor, the diameter dmin of the smallest bubble and the parameters of the reactor is built. According to the method, the reactor bubble scale is associated with the structural parameter, the operation parameter andthe physical property parameter of the reactor by using specific numerical relationship, the numerical relationship has the guiding significance for the design of the reactor and can be applied to avariety of reactors, the versatility is good, by means of a bubble scale regulation and control model built through the method, by adjusting the structural parameter and the operation parameter of thereactor, and the maximization of energy efficiency and material efficiency in the reaction process can be achieved, or under the condition that reaction targets, energy consumption and material consumption are given, a high-efficiency reactor structure is designed.

A device control model provides an integrated set of addressing, naming, discovery and description processes that enables automatic, dynamic and ad-hoc self-setup by devices to interoperate with other devices on a network. This permits a computing device when introduced into a network to automatically configure so as to connect and interact with other computing devices available on the network, without a user installation experience and without downloading driver software or persisting a configuration setup for connecting and interacting with such other computing devices. Upon completing interaction with such other devices, the computing device automatically releases the setup for such other devices so as to avoid persistent device configurations that might create a configuration maintenance and management burden.

A cluster recovery and maintenance system, method and computer program product for use in a server cluster having plural nodes implementing a server tier in a client-server computing architecture. A first group of N active nodes each run a software stack comprising a cluster management tier and a cluster application tier that actively provides services on behalf of one or more client applications running in a client application tier on the clients. A second group of M spare nodes each run a software stack comprising a cluster management tier and a cluster application tier that does not actively provide services on behalf of client applications. First and second zones in the cluster are determined in response to an active node membership change involving one or more active nodes departing from or being added to the first group as a result of an active node failing or becoming unreachable or as a result of a maintenance operation involving an active node. The first zone is a fault tolerant zone comprising all active nodes that remain operational. The second zone is a fault containment zone comprising all active nodes participating in the membership change and at least a corresponding number of spare nodes to the extent that the membership change involves a node departure. During recovery and maintenance, fast recovery / maintenance and high application availability are implemented in the fault containment zone, while continuous application availability is maintained in the fault tolerant zone.

A processor integrating and controlling at least two A / V devices by constructing a control model, referred to as a filter graph, of the at least two A / V devices as a function of a physical connection topology of the at least two A / V devices and a desired content to be rendered by one of the at least two A / V devices. The filter graph may be constructed as a function of at least two device filters corresponding to the at least two A / V devices, in which the device filters include certain characteristics of the at least two A / V device. These characteristics may include the input or output pins for each device, the media type that the A / V device may process, the type of functions that the device may serve, etc. The desired content may be received as a user input which is entered via a keyboard, mouse or other comparable input devices. In addition, the user input may be entered as a voice command, which may be parsed by the processor using conventional speech recognition algorithms or natural language processing to extract the necessary information. Once the filter graph is constructed, the processor may control the at least two A / V devices via the filter graph by invoking predetermined operations on the filter graph resulting in the appropriate commands being sent to the at least two A / V devices, thereby results in the rendering of the desired content.

A method and system for selecting an optimal set of management and risk controls for a given set of risks within a variable control budget. Specifically, optimization according to the present invention is defined using a method and system to calculate the greatest reduction in an organization's risk exposure with the minimum investment in cost and time as measured by the economic value added of the risk system change. Risk control models and management risk control models are client customized into a risk control system specifically addressing a clients applicable risks and their associated exposures. An operator is able to determine which risk control system maximizes available resources while also reducing an organization's total risk exposure.

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.

A model train control system providing a more realistic modeling of the movement, sound, smoke, and lighting effects of a model train is disclosed. A number of dynamic inputs are used to control such effects. Novel features include providing a dynamic variable speed compensator, a dynamic engine load calculator, automatic dynamic momentum, an adjustable train brake, spectrum control, a velocity controller, pressure sensitive effects, a voice activated dispatcher system, a train location and information reporter network, two digit addressing, a traffic control system, accessory control, a model train Central Control Module, and removable memory modules.

The invention discloses a machine-learning-based air conditioner control method and device as well as an air conditioner. The air conditioner control method comprises the steps that operation parameters and set time, set by a user, of the air conditioner are acquired; when the user sets the operation parameters of the air conditioner, environment parameters corresponding to the set time is obtained; the operation parameters, recorded repeatedly, of the air conditioner are used as the output, the corresponding environment parameters are used as the input, and training is carried out on a neuralnetwork control model so as to obtain a trained neural network control model; and control is carried out on the air conditioner according to the trained neural network control model. According to themachine-learning-based air conditioner control method, self learning of behaviors of controlling the air conditioner by the user can be achieved, and intelligentization of air conditioner control isimproved; when the air conditioner is started, the user does not need to input a control parameter, and the air conditioner can be started through one key, so that complex operation is avoided; and full automatic control of the air conditioner is even realized.

The invention discloses an air conditioner control method, which comprises the following steps that the indoor temperature is detected; a difference value between the indoor temperature and the temperature set by a user is calculated according to the indoor temperature and the temperature set by the user; the initial operation frequency increment of an air conditioner compressor is calculated according to the difference value and a fuzzy control rule, and the initial operation frequency is calculated according to the initial operation frequency increment for controlling the compressor to operate at the initial operation frequency; the operation time of the compressor is detected; when the operation time is greater than the preset time, and if the absolute value of the difference value is smaller than or equal to a preset threshold value, the operation frequency modification value is calculated according to the difference value and a PID (proportion integration differentiation) control model, and in addition, the operation frequency modification value is overlapped onto the initial operation frequency for controlling the compressor to operate at the modified operation frequency. Therefore the operation frequency of the compressor can realize fast response to the load change, the fast refrigeration and heating can be realized, meanwhile, the temperature can be precisely controlled, and the energy sources can be effectively saved. The invention also discloses an air conditioner control device.

The invention discloses a regional path tracking control method for an autonomous land vehicle. A problem that collision of a vehicle with a road boundary or surround obstacle occurs because shapes and sizes of the vehicle and the road are not considered by the existing tracking control method can be solved. The method comprises the following steps: establishing a two-dimensional road model; establishing a mathematical model associated with a vehicle path tracking problem; calculating a roadable region boundary line within a certain distance in front of the vehicle; establishing a vehicle system model; carrying out a design of a regional path tracking control model and selecting a controlled quantity being an optimum front wheel steering angle at current time; according to the optimum front wheel steering angle, controlling a steering execution mechanism to make motion to enable the controlled vehicle to be driven in a roadable region, provided by a vehicle sensing system, within a certain distance in front of the vehicle. When the two-dimensional road model is established, the shapes and sizes of the vehicle and roads are taken into consideration, thereby reducing the possibility of collision of the vechile with the road boundary and thus improving safety of the autonomous land vehicle.

The invention relates to a universal flight simulator based on virtual operation, which comprises footstools, a throttle lever, a steering column and a sound blending box arranged in a universal concept cabin of the virtual operation; the universal concept cabin also comprises a sight display system consisting of a back projection system, a virtual switch, a knob and a virtual instrument operated by using a touch mode, a displaying and resolving center for model resolving, flight control resolving and acceleration resolving and a buffeting chair seated by a driver. The universal flight simulator based on virtual operation uses a virtual operation switch and the virtual instrument to replace a real physical hardware switch and an instrument and can flexibly switch the virtual switch, the instrument software and a flight control model into various models for flight training and games. The universal flight simulator is small in size, light in weight, convenient to disassemble and assemble and suitable for use under the ordinary office condition, has vivid simulation, low price and strong universality through switching models by software and can be combined to a simulator set with different models for confronting training and games after being connected to the Internet.

A system and method for camera navigation that provides a player with an unobstructed, non-disorienting view of a target. The system includes a memory for storing a camera navigation / control model, a central processing unit for executing the camera navigation / control model to provide unobstructed and non-disorienting target character views, and a graphics processing unit configured to render the unobstructed views of the target in an image for display. In addition, the camera navigation / control model includes an object detection model, line-of-sight restoration models to restore a line-of-sight view of an obstructed target, and a camera navigation path model. In the method, a collision probe is sent on a straight line path between a camera and a target whereby line-of-sight obstructions are detected if the probe intersects with polygonal sides of an object. A line-of-sight restoration method is used to move the camera to provide an unobstructed view of the target.

The invention provides an intelligent drilling expert system. The intelligent drilling expert system comprises a field sensor detection system, an intelligent expert system and an execution mechanism. An automatic closed-loop drilling regulation and control system is formed. Data in a whole drilling process are acquired through a field sensor; then, the acquired data are transmitted into a computer for processing, monitoring, prediction, analysis, explanation, control and the like. Most importantly, through the researched cross-specialty and cross-industry intelligent expert control models for drilling hydraulic control, well wall stability control, friction resistance and torque control, drilling speed and cost control, drilling complexity and accident control and the like, instantaneity, early discovery, early prediction, interpretation while drilling and an automatic control function can be realized, and accurate information is provided for drilling engineering; moreover, the intelligent drilling expert system has the advantages of reducing the drilling cost, increasing the drilling speed, avoiding sudden accidents and discovering oil and gas accurately.

The invention discloses a V2X Internet of Vehicles (IoV) on-loop simulation system, and belongs to the field of IoV. The system is mainly composed of an IPG carmaker IoV simulation platform (01), a Simulink environment module (02), a channel simulator (03), a V2X communication terminal (04) and a V2X road side device (05), wherein the IPG carmaker simulation tool is responsible for building a simulation scene and configuring simulating parameters, the Simulink environment module is responsible for building a channel model, a simulation scene and real scene mapping model, a control model and acommunication model, the channel simulator is used for conducting performance test on LTE-V, 802. 11p communication protocol, the V2X communication terminal is connected with the Simulink communication model to obtain the scene information and realize on-loop simulation, and the V2X road side device imports the obtained information of the real scene into a simulation scene to achieve an outdoor test function. All the modules supplement each other to form a perfect on-loop simulation system and provide a good testing and verifying platform for the IoV application.

The invention relates to a modularized multi-level converter sub-module control and protection method. The control and protection method comprises the following processing modes: in four control models of a sub-module, executing different control and protection logics by using a sub-module controller; generating a sub-module internal interface output signal, detecting an input signal and diagnosing a plurality of faults; executing control and protection actions by using the sub-module controller according to an action priority level; detecting the voltage of an energy storage capacitor C by using the sub-module controller; and performing asynchronous serial communication between the sub-module controller and a valve-based controller. In the method, a complete and intelligent control and protection scheme is designed aiming at the structure of the modularized multi-level converter sub-module, the coordinated control and protection of the overall sub-module can be realized, so that the stable and reliable operation of the sub-module in a converter and the coordinated matching with an overall control and protection system of the converter are ensured.

The invention discloses an optimal control method for intersection group traffic flow, which resolves the defect that the smallest unit of current urban traffic control is a single intersection, which cannot satisfy the needs of actual traffic control, can realize the optimization of local traffic flow, and provides helps for micro control of traffic flow. The steps of the method are:(1) real time acquiring actual traffic flow of ''intersection group'' on roads through a ground induction coil which has been paved in a city; (2) constructing an optimal control model with a smart approach and inferring and optimizing the parameters of a controller according to real-time traffic information;(3) the controller carrying out optimal control for traffic flow according to the control model.

Embodiments relate to a unified management interface and related resources for managing sets of model objects. A modeling client can host modeling logic and an application programming interface (API) to create, access, manipulate, and import / export modeling objects used in modeling applications, such as engineering, medical, financial, and other modeling platforms. The source data accepted into the modeling client can include consumer or business-level applications, whose spreadsheet, database or other content can be extracted and encapsulated in object-oriented format, such as extensible markup language (XML) format. A graphical control application can be used to manage one or more sets of modeling objects from a unified interface, to permit, for instance, the selection and configuration of the connections, activation status, security settings, and / or other attributes of model objects. The management interface can be used to control how the model objects and other resources can exchange outputs, share internal data, and otherwise operate.

The invention discloses a model prediction control-based active and reactive coordinated control method of a power distribution network. The method comprises the steps of (1) building a recent optimization and control model according to an optimization object and constraint conditions; (2) solving the recent optimization and control model and making a recent active and reactive control plant of the power distribution network; (3) taking a recent active and reactive control plan of the power distribution network as a reference value, considering current and future running constraint conditions on the basis of a running state measurement value of the power distribution network at a current moment, building a prediction model and an active and reactive coordinated optimization and control model at an intra-day rolling correction stage by and solving an intra-day active and reactive control instruction sequence in a limited period in the future; and (4) executing an intra-day active and reactive control instruction at a first moment, moving a time window backwards at a time interval and repeating the intra-day rolling correction optimization process. According to the method, the running cost of a system is reduced on the premise of ensuring the running security of the system, the network loss of the system is reduced, and maximization of the running benefit of the active power distribution network is achieved.

A generalized printhead control model is provided herein as a basis for configuring printhead control software that will operate any selected printhead or group of printheads. The subject model covers a hierarchy of classes for the attributes of software that controls the printheads in a system, such as for producing a biopolymer array.

The invention discloses an Internet financial risk monitoring system based on knowledge map, which comprises a data source module, a multi-label graph module and an analysis module. The data source module extracts entities according to different data sources, fuses entity knowledge, constructs relationships, integrates all the basic data sources from different business systems, and organizes theminto unambiguous and well-defined entity knowledge and definite relationships among entities according to business logic. The multi-tag graph module constructs a multi-tag knowledge map according to the knowledge acquired from the data source, and maps the social behavior and attributes of the members into the network map to form the behavior attributes association map of the members; The analysismodule analyzes the potential risk factors and characteristics of members in the process of Internet finance by constructing a good knowledge map. The invention changes the existing analysis dimension of the wind control model, thereby optimizing the traditional method that only the analysis dimension is added to improve the model precision.

The invention discloses a realizing method of engine system of political examination and approval working flow, which comprises the following steps: transmitting complex working flow into control model and data flow model of engine system; extracting flow information through engine system to analyze and operate; transplanting the complex examination and approval business into the system; allocating different resources according to different examination and approval businesses; proceeding individual allocation for the resource on the flow model; defining the data limit and individualization of resource difference of the system; butting the business among departments seamlessly under combined examination and approval condition; realizing uniform dispatching and information sharing.

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 relates to a micro-interface enhanced reactor bubble scale structure-activity regulation and control model building method. The diameter dmax of the largest bubble of a micro-interface enhanced reactor and the diameter dmin of the smallest bubble of the micro-interface enhanced reactor serve as independent variables, the average diameter d32 of the bubble Sauter serve as a dependentvariable, and a numerical relationship is built; based on the Kolmogorov-Hinze theory, the relationship between the diameter dmax of the largest bubble of the micro-interface enhanced reactor, the diameter dmin of the smallest bubble and the parameters of the reactor is built. According to the method, the reactor bubble scale is associated with the structural parameter, the operation parameter andthe physical property parameter of the reactor by using specific numerical relationship, the numerical relationship has the guiding significance for the design of the reactor and can be applied to avariety of reactors, the versatility is good, by means of a bubble scale regulation and control model built through the method, by adjusting the structural parameter and the operation parameter of thereactor, and the maximization of energy efficiency and material efficiency in the reaction process can be achieved, or under the condition that reaction targets, energy consumption and material consumption are given, a high-efficiency reactor structure is designed.

The invention discloses a car body stable control method of a four-wheel independent drive electric car. A yaw velocity expected value is obtained through a car linear two-freedom-degree control model, after a side slip angle expected value is set to zero, based on the active disturbance rejection control theory, a yaw velocity deviation active disturbance rejection controller and a side slip angle deviation active disturbance rejection controller are designed, an additional yawing moment deltaMwr and an additional yawing moment deltaMB are obtained, the additional yawing moment deltaMwr and the additional yawing moment deltaMB are linearly added to obtain a total additional yawing moment deltaMYSC acting on the car, finally torque of all wheels is distributed through the value of the total additional yawing moment, distributed instruction torque is input into four motors of the car, and therefore the yaw lateral movement of the electric car is controlled, and the car body is stabilized.

The invention discloses an unmanned aerial vehicle (UAV)-unmanned ground vehicle (UGV) combined formation cooperative control method, comprising the following steps: step 1, establishing nonlinear dynamical models of unmanned vehicles in UAV-UGV combined formation; step 2, processing the nonlinear dynamical models of a UAV and a UGV via equivalent transformation, and taking acceleration as a common control target quantity, obtaining a unified control model taking acceleration as a control input in the combined formation; step 3, establishing a ground-air combined formation structure based on a virtual pilot to obtain a stable control signal for the UAV-UGV combined formation and obtain an error model of the combined formation, wherein the control signal is acceleration obtained in step 2 as a common control target quantity; and step 4, designing a UAV-UGV combined formation controller by adopting a RBF (Radial Basis Function) network algorithm according to the control model, the error model and the acceleration serving as a control signal and a control target quantity at the same time, so that the combined formation is stable and reliable.

A system and method for camera navigation that provides a player with an unobstructed, non-disorienting view of a target is provided. The system includes a memory for storing a camera navigation / control model, a central processing unit for executing the camera navigation / control model to provide unobstructed and non-disorienting target character views, and a graphics processing unit configured to render the unobstructed views of the target in an image for display. In addition, the camera navigation / control model includes an object detection model, line-of-sight restoration models to restore a line-of-sight view of an obstructed target, and a camera navigation path model. In the method, a collision probe is sent on a straight line path between a camera and a target whereby line-of-sight obstructions are detected if the probe intersects with polygonal sides of an object. A line-of-sight restoration method is used to move the camera to provide an unobstructed view of the target.