4797 results about "Dynamic models" patented technology

System and method for asynchronous distributed optimization of an enterprise. The system includes multiple computer systems coupled over a network, which store and implement multiple models, including one or more dynamic models representing respective sub-systems or processes of the enterprise. At least two of the models are interdependent. The system also includes an optimizing system that includes multiple optimizers, at least two of which are interdependent, and constraints and/or objectives, and is operable to receive information related to the enterprise from multiple information sources, and use one or more of the plurality of models to generate a solution subject to the one or more constraints and/or objectives, which is usable in managing the enterprise. Some or all of the system operates in an asynchronous manner. Various portions of the system, e.g., the models, data sources, optimizers, constraints and/or objectives, etc., may be updated, e.g., asynchronously, as desired.

A system and method for providing steering control for lane changing and lane centering purposes in an autonomous or semi-autonomous vehicle system. A vehicle vision system calculates roadway lane marking information, such as lateral offset, yaw angle and roadway curvature with respect to the vehicle's centered coordinate system. The roadway is then modeled as a second order polynomial equation. The method then predicts roadway lateral position and yaw angle over a pre-defined lane change completion time using a vehicle dynamic model. The method then compares a predicted vehicle path with a desired vehicle path to generate an error value, and calculates a steering angle command to minimize the error value, where the steering angle command is calculated as a function of vehicle lateral position, vehicle lateral speed, vehicle yaw rate and vehicle yaw angle. The steering angle command is then sent to the vehicle steering system.

A distributed virtual environment includes one or more entities represented in the virtual environment by at least a conceptual entity-model, a dynamic entity-model and a visual entity-model each of the entity models being mutually independent. A server provides a conceptual-model manager, arranged to provide conceptual entity-models, one or more dynamic-model managers arranged to provide dynamic entity-models, and one or more client apparatuses arranged to provide a visual-model manager arranged to provide visual entity-models. Communications is arranged to allow transmission of messages between the conceptual-model manager, one or more dynamic-model managers and one or more visual-model managers.

The invention relates to automatically adjusting an acquisition protocol for dynamic medical imaging, such as dynamic CT, MRI or PET imaging. The protocols are adjusted based on anatomic and dynamic models (10, 12, 14) which are individualized or fitted to each patient based on a scout scan (6, 8). The adjustment can compensate for changes in the patient due to patient motion (e.g. breathing or heartbeat) or flow of contrast or tracing agent during the sequence. This ensures that changes in the reconstructed images are indicative of pathological changes in the patient and not caused by patient motion or changes in scanning parameters or timing. The dynamic model can be a motion model (12) used to predict the motion of anatomic/physiologic features, typically organs, during scanning, or a haemodynamic model (14) used to predict flow of the contrast agent allowing for precise timing of the scanning sequence.

A method is presented for estimating an amount of ammonia stored in a urea-based SCR catalyst based on a dynamic model of the catalyst. The model takes into account chemical and physical properties of the catalyst, such as catalyst volume, the number of available ammonia storage cites, adsorption and desorption dynamics, as well as sulfur poisoning, thermal aging, and different catalyst operating temperatures, and generates the estimate based on a measured or estimated amount of NOx in an exhaust gas mixture upstream of the catalyst, an amount of reductant injected into the catalyst to facilitate NOx reduction, and on a measured value of NOx in an exhaust gas mixture downstream of the catalyst. The estimated ammonia storage amount is then used to control the amount of reductant injected into the catalyst to maintain desired ammonia storage amount such that maximum NOx conversion efficiency coupled with minimum ammonia slip are achieved.

System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g., substantially concurrently, by identifying process inputs and outputs (I/O), collecting data for process I/O, determining constraints on model behavior from prior knowledge, formulating an optimization problem, executing an optimization algorithm to determine model parameters subject to the determined constraints, and verifying the compliance of the model with the constraints.

Systems, methods and apparatus are provided through which in some implementations changes in an aneurysm in a patient over time are identified by determining temporal differences between segmented aneurysms in a plurality of longitudinal exams and visually presenting the temporal differences.

A method and apparatus for optimizing the operation of a single or multiple power generating units using advanced optimization, modeling, and control techniques. In one embodiment, a plurality of component optimization systems for optimizing power generating unit components are sequentially coordinated to allow optimized values determined by a first component optimization system to be fed forward for use as an input value to a subsequent component optimization system. A unit optimization system may be provided to determine goals and constraints for the plurality of component optimization systems in accordance with economic data. In one embodiment of the invention, a multi-unit optimization system is provided to determine goals and constraints for component optimization systems of different power generating units. Both steady state and dynamic models are used for optimization.

The present invention represents a procedure for compensating the heave movement of offshore cranes. The dynamic model of the compensation actuator (hydraulically operated winch) and the load hanging on a rope are derived. Based on this model, a path-tracking control unit is developed. To compensate the movement of the ship/watercraft caused by waves, the heave movement is defined as a time-varying disturbance and is analyzed with respect to uncoupling conditions. With a model expansion, these conditions are satisfied, and an inversion-based uncoupling control law is formulated. To stabilize the system, an observer is used for reconstructing the unknown state by means of a force measurement. Furthermore, the compensation efficiency can be improved by predicting the heave movement. There is proposed a prediction method in which no ship/watercraft models or properties are required. The simulation and measurement results validate the heave compensation method.

The invention relates to a method and a system for a semi-physical simulation test of visual unmanned aerial vehicle flight control and belongs to the technical field of visual system simulation. The method includes building a dynamic model of an unmanned aerial vehicle system, initializing the dynamic model, enabling an unmanned aerial vehicle to fly along the track provided by the ground, feeding flight rudder quantity information to the dynamic model to be updated, driving a three-dimensional model of the unmanned aerial vehicle through the updated dynamic model to conduct simulation and outputting simulation image and data in real time. A system based on the method is further provided. The method and the system provide effective ways and development environment for design, experiments and verification of the flight control law, have the advantages of being simple, flexible, quick, vivid and real-time, improve simulation efficiency of a flight control system, reduce test risk and test cost of the unmanned aerial vehicle and shorten development period.

The occurrence of a slippage of a robot in operation, following a desired gait, is determined, and the permissible range of a restriction object amount, such as a floor reaction force horizontal component or a floor reaction force moment vertical component to be applied to the robot, is variably set according to a slippage determination result. A provisional motion of a desired gait is determined using a dynamic model, and if the restriction object amount defined by the provisional motion deviates from the permissible range, then the motion of a desired gait is determined by correcting the provisional motion by changing the changing rate of the angular momentum of the robot from the provisional motion so as to limit the restriction object amount to the permissible range, while satisfying a dynamic balance condition.

A method is presented for estimating an amount of ammonia stored in a urea-based SCR catalyst based on a dynamic model of the catalyst. The model takes into account chemical and physical properties of the catalyst, such as catalyst volume, the number of available ammonia storage cites, adsorption and desorption dynamics, as well as poisoning, thermal aging, and different catalyst operating temperatures, and generates the estimate based on a measured or estimated amount of NOx in an exhaust gas mixture upstream of the catalyst, an amount of reductant injected into the catalyst to facilitate NOx reduction, and on a measured value of NOx in an exhaust gas mixture downstream of the catalyst. The estimated ammonia storage amount is then used to control the amount of reductant injected into the catalyst to maintain desired ammonia storage amount such that maximum NOx conversion efficiency coupled with minimum ammonia slip are achieved.

A method is presented for estimating an amount of ammonia stored in a urea-based SCR catalyst based on a dynamic model of the catalyst. The model takes into account chemical and physical properties of the catalyst, such as catalyst volume, the number of available ammonia storage cites, adsorption and desorption dynamics, as well as poisoning, thermal aging, and different catalyst operating temperatures, and generates the estimate based on a measured or estimated amount of NOx in an exhaust gas mixture upstream of the catalyst, an amount of reductant injected into the catalyst to facilitate NOx reduction, and on a measured value of NOx in an exhaust gas mixture downstream of the catalyst. The estimated ammonia storage amount is then used to control the amount of reductant injected into the catalyst to maintain desired ammonia storage amount such that maximum NOx conversion efficiency coupled with minimum ammonia slip are achieved.

The invention discloses a method for islanding microgrid control and optimization based on rotating coordinate virtual impedance. Aiming to a fact that the actual microgrids have complicated impedance characteristics, the method for islanding microgrid control and optimization based on the rotating coordinate virtual impedance includes utilizing the coordinate rotation orthogonal transformation to design the coordinate rotation virtual impedance, improving the impedance characteristics of the microgrid, compensating errors of power distribution and improving power decoupling performance; establishing a complete small-signal dynamic model of the microgrid, wherein the small-signal dynamic model comprises distributed energy sources, power converters, loads and power grids, and guiding the selection of an optimal value on the basis of the small-signal dynamic analytical method; and simultaneously, providing a theoretical basis for the optimization selection of islanding microgrid control parameters by using the small-signal dynamic analytical method, wherein the islanding microgrid control parameters comprise droop control coefficients of the power distribution, process identifier (PI) parameters of a voltage current feedback controller, feedforward control coefficients and the like. The microgrid after being subjected to optimization design in an islanded operational mode is capable of effectively achieving power decoupling and improving the accuracy of the power distribution, the stability of the system and the dynamic performances.

An online method and apparatus for determining state of charge (SoC) and state of health (SoH) of batteries on platforms that present dynamic charge and discharge environments is disclosed. A rested open circuit voltage (OCV) may be estimated online using a battery dynamic model along with measured terminal voltage, current and temperature. The SoC and SoH can then be determined from this estimated OCV. The apparatus and methods may estimate SoC and SoH of a battery in a real-time fashion without the need to a) disconnect the battery system from service; b) wait for a predefined rest time; or c) depolarize the battery.

A technique is provided for analyzing a dataset. The technique includes generating multivariate parameters to capture statistical patterns over time and/or across dimensions in the dataset, and developing a dynamic model based on the multivariate parameters for analyzing the dataset.

The invention discloses a large high-rise building indoor fire urgent evacuation indication escape method and system, and belongs to the field of high-rise building fire safety. The large high-rise building indoor fire urgent evacuation indication escape method comprises the following steps: step 1, a fire source is located; step 2, a dynamic module of fire spread is set up; step 3, according to the dynamic module of fire spread in combination with the structural information of a building, the spatial position of an ignition point and the spatial position of fire-fighting equipment in a large high-rise building are determined, predictions are made over fire spread paths, and evacuation escape routes are planned; step 4, according to the designed escape routes, site equipment is controlled in a selective mode for assisting people in evacuation. According to the large high-rise building indoor fire urgent evacuation indication escape method and system, the fire control escape routes are made based on specific fire behavior, so that evacuation time is shortened; the existing problems that when a fire breaks out, a fire control evacuation escape way is crowded , low in efficiency and disorderly and stampedes easily occur are solved fundamentally; the practical significance of improving the safe evacuation performance of the large high-rise building and reducing the property loss and casualties caused by the fire in the large high-rise building is quite high.

A system and method of increasing the efficiency of overall power utilization in data centers by integrating a power management approach based on a comprehensive, dynamic model of the data center created with integrated environmental and computational power monitoring to correlate power usage with different configurations of business services utilization, with the techniques of CPU level power management

A method for synthesizing a sequence includes defining a switching linear dynamic system (SLDS) with a plurality of dynamic systems. In a Viterbi-based method, a state transition record for a training sequence is determined. The corresponding sequence of switching states is determined by backtracking through the state transition record. Parameters of dynamic models are learned in response to the determined sequence of switching states, and a new data sequence is synthesized, based on the dynamic models whose parameters have been learned. In a variational-based method, the switching state at a particular instance is determined by a switching model. The dynamic models are decoupled from the switching model, and parameters of the decoupled dynamic model are determined responsive to a switching state probability estimate. Similar methods are used to interpolate from an input sequence.

The invention relates to a method of performing a gas operation of an oilfield having a subterranean formation with at least one reservoir positioned therein. The method steps include modeling the gas operation of the oilfield using a multi-domain simulator by coupling a static model of the subterranean formation, a dynamic model of the subterranean formation, and a well model, wherein the multi-domain simulator comprises the static model, the dynamic model, and the well model, defining a development plan for the gas operation based on the modeling, and performing gas injection according to the development plan.

The supercapacitor-based grid fault ride-through system provides a dynamic model of a wind generation system including a Voltage Source Converter (VSC), which functions as a Static Compensator (STATCOM). The power control capability of the STATCOM is extended by incorporating energy stored in a supercapacitor. The system implements a vector control technique based on the decoupling of real and reactive power. Simulation results show that a fixed speed induction generator is capable of withstanding a significant grid fault when aided by the supercapacitor-based grid fault ride-through system. Moreover, the induction generator regains its pre-fault status immediately after the fault is cleared.

The invention relates to a spacecraft attitude integral sliding mode fault tolerance control method taking consideration of a performer fault and provides a robustness attitude active fault tolerance control method based on an integral sliding mode surface for problems of the performer fault, external disturbance and control moment amplitude limits in a spacecraft attitude control process. The method comprises steps that firstly, a spacecraft attitude dynamics model taking consideration of the performer fault and containing external disturbance is established; secondly, on the condition that a performer is not in fault, a designed nominal controller can guarantee system stability, and input saturation amplitude limits can be easily satisfied through adjusting controller parameters; lastly, the fault information is introduced to design an integral sliding mode controller, robustness of external disturbance and the performer fault can be effectively improved, system stability is analyzed on the basis of an Lyapunov method. The method is advantaged in that stability of the attitude control system is guaranteed when a spacecraft operating on orbit generates the performer fault, and relatively strong fault tolerance capability and external disturbance robustness are realized.

The present invention provides a dynamic model directed angiography three-dimensional reconstruction method, pertaining to an intersectional field of digital image processing and medicine imaging, for satisfying special requests of auxiliary detection and surgery guidance for cardiovascular disease in clinical medicine. The invention includes steps of angiography image preprocessing, vascellum segmentation, vascellum skeleton and radii extraction, model directed vascellum base element recognition, vascellum matching and vascellum three-dimensional reconstruction. The invention also provides a cardiovascular dynamic model construction method including steps of cardiovascular slice data extraction, cordis static and dynamic model building, and static and dynamic model building. According to the invention, good angiography three-dimensional reconstruction result may be obtained, which effectively assists detection and surgery guidance for cardiovascular disease, thereby satisfying clinical requests.