154 results about "Nonlinear motion" patented technology

A system for operating a barrier system such as a garage door, gate or fence. A DC motor is connected to and operates a barrier drive. A power amplifier is configured to receive power signals from a power supply and to output modulated DC signals to the DC motor. A controller implements an intelligent closed-loop motion control algorithm to control the power amplifier according to a non-linear motion profile. A feedback sensor provides status signals to the controller to determine position or speed of the barrier.

Apparatus and methods for acquiring seismic data using a seabed seismic data cable positioned on a seabed are described, including correcting for the effect of one or more sensor non-linear motions, which improves accuracy of seismic data. One or multiple non-linear movements of the sensor may be corrected for. It is emphasized that this abstract is provided to comply with the rules requiring an abstract, which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

The present invention provides a vehicle with redundant systems to increase the overall safety of the vehicle. In other aspects, the present invention provides a method for learning control of non-linear motion systems through combined learning of state value and action-value functions.

A six degree-of-freedom trajectory linearization controller (TLC) architecture (30) for a fixed-wing aircraft (46) is set forth. The TLC architecture (30) calculates nominal force and moment commands by dynamic inversion of the nonlinear equations of motion. A linear time-varying (LTV) tracking error regulator provides exponential stability of the tracking error dynamics and robustness to model uncertainty and error. The basic control loop includes a closed-loop, LTV stabilizing controller (12), a pseudo-inverse plant model (14), and a nonlinear plant model(16). Four of the basic control loops (34, 36, 40, 42) are nested to form the TLC architecture (30).

The invention discloses a multi-target tracking method based on track association. The method comprises the following steps: to begin with, generating a local track based on a scene self-adaption method and realizing association of detection responses and original tracks; then, realizing global track association based on an appearance model of increment linear discriminant; and finally, realizing vacancy filling between track fragments to obtain a complete and smooth tracking track based on a nonlinear motion model. The method can realize correct association of multiple targets under complex conditions of target occlusion, similar appearance characteristics of different targets and abrupt change of direction of a moving target and the like; and finally, a stable and continuous tracking track can be obtained.

The invention discloses an iterative learning trajectory tracking control and robust optimization method for a two-dimensional motion mobile robot. The method includes the steps that firstly, a kinetic equation of a two-dimensional motion mobile robot discrete non-linear motion system model is established; a discrete non-linear state space expression is established; a P type open-closed loop iterative learning controller based on the iterative learning control technology is established; then the robust convergence of the established discrete non-linear control system is theoretically analyzed; then parameter item splitting is conducted on control gains of the P type controller, meanwhile, a quadratic performance index function based on controller parameters is designed, and the purpose is to optimize the control parameters; finally, monotone convergence characteristics of output errors and parameter selection conditions generated when a control algorithm acts on a controlled system are analyzed and optimized, and the two-dimensional motion mobile robot can rapidly track an expected motion trajectory at high precision. The method has the advantages that the robust optimization iterative learning controller is suitable for tracking control in an ideal state and suitable for trajectory tracking tasks under the condition that interference exists outside. A designed iterative algorithm is simple and efficient, introduction of a large number of additional parameter variables is not needed, and engineering realization is easy.

A system and method is disclosed for tracking a moving object using magnetic resonance imaging. The technique includes acquiring a scout image scan having a number of image frames and extracting non-linear motion parameters from the number of image frames of the scout image scan. The technique includes prospectively shifting slice location using the non-linear motion parameters between slice locations while acquiring a series of MR images. The system and method are particularly useful in tracking coronary artery movement during the cardiac cycle to acquire the non-linear components of coronary artery movement during a diastolic portion of the R—R interval.

A present invention provides for a system (100) for injecting cooling fluid into a concrete mixing container (502), the system (100) comprising a support structure (116) having a leg assembly with two or more supporting legs (201) and a cross member beam (200) supported between said two or more legs (201), the two or more legs (201) and the cross member beam (200) being positioned with respect to one another in such a manner as to define a passageway (210) of sufficient height (H) and width (W) between the two or more legs (201) and beneath the cross member beam (200) to allow passage of a concrete mixer truck (504) through the passageway (210) and a lance device (190) positioned on the cross member beam (200) of the support structure (116), the lance device (190) comprising an articulated arm that includes a rigid lance (102) which allows for the flow of a cooling fluid there through; and a means for acting on the articulated arm to cause pivotal movement of the articulated arm in a non-linear motion thereby controlling the angle of the rigid lance (102) while at the same time controlling the insertion and retraction movement of the rigid lance (102) into the concrete mixing container (502) for fluid injection of the cooling fluid into the concrete mixing container (502). The present invention further comprises a process for injecting cooling fluid into a concrete mixing container (502).

An apparatus and method for displaying the weight or cost of segments of an irregularly shaped item involves passing a sensor bar supported above a supporting surface over the item lying on the surface. A compact hand-held embodiment of the sensor bar enables the operator to move the sensor bar in various linear or non-linear motions over the item surface as the sensor bar moves laterally across the item surface while the sensor bar support posts remain in constant contact with the supporting surface. The sensor bar contains one or more sensors which generate signals corresponding to the height of the item as the sensor bar traverses the item. At the same time, a displacement detector arrangement generates signals corresponding to displacement of the sensor bar relative to the support surface. These signals are processed in a signal processor to determine the volume of an uncut segment of the item lying behind the sensor bar at successive positions. Each of these cumulative volume determinations may be continuously converted into numeric weight values based on the density factor for the particular type of item, whereby numeric weight and cost values (based on weight) are continuously displayed as the sensor bar is stroked over the item, thus enabling the operator to accommodate an on-looking consumer's specific requests as per the particular portion desired based on the physical appearance, weight, and cost of an item before the item is cut.

The invention discloses a target tracking method based on an LSTM neural network, and belongs to the technical field of target tracking. According to the method, the LSTM is used for tracking the complex and non-linear motion target, and the problems that target tracking is difficult, a target model is difficult to establish and the tracking precision is low are solved; the method comprises the following steps: firstly, acquiring latitude and longitude information and speed information of a target, and processing acquired data; designing an LSTM neural network structure for single target tracking; and finally, adjusting LSTM neural network parameters to realize target tracking. According to the method, the nonlinear filtering process is effectively simplified, and a complex nonlinear target can be effectively tracked; the establishment of a target motion model and the utilization of a traditional filtering algorithm are not needed; estimating the target motion state of the next momentby using historical target motion information; adjusting internal parameters of the neural network by using a back propagation algorithm; the learning rate attenuation method reduces the calculation amount and improves the precision.

The invention provides a method for acquiring noise models of coordinate time series of regional GPS (global positioning system) reference stations. The method includes steps of 1, collecting data; 2, selecting a plurality of groups of combined noise models according to a basic principle that the noise models cover integral frequency bands of noise frequencies; 3, respectively analyzing noise of the coordinate time series of the GPS reference stations and noise of environmental-load-corrected coordinate time series of the GPS reference stations by the aid of a maximum likelihood estimation process according to the various combined noise models, and acquiring MLE (maximum likelihood estimation) values of the various combined noise models at components of the coordinate time series of the GPS reference stations; 4, acquiring the optimal noise models at the components of the coordinate time series of the GPS reference stations according to the MLE values of the combined noise models. The method has the advantages that the optimal noise models of the regional GPS reference stations can be effectively built, nonlinear movement is taken into consideration of the optimal noise models, accordingly, actual movement of the observation stations can be effectively represented as compared with existing models, and noise signals which are reflected by the coordinate time series can be reasonably explained.

The invention belongs to the technical field of computer vision, and particularly relates to a multi-target tracking method. The shielding and appearance similarity problems in multi-target tracking still limit the performance of a visual multi-target tracking algorithm. The invention provides a multi-target tracking method. The method includes: detecting each frame of image in the video; outputting a detection result and constructing a nonlinear motion model based on an LSTM network; and constructing a multi-target tracker, outputting a prediction result of the multi-target tracker, constructing a data association module based on a Hungary algorithm, inputting a tracking target prediction position and a feature vector matrix, outputting an allocation probability vector to obtain a targetdetection result with the maximum matching probability, and taking the target detection result as a tracking result of the ith target. The problems of inaccurate tracking and identity switching aftershielding in an existing visual multi-target tracking algorithm are solved, and the tracking performance is greatly improved.

A hand-off monitoring method is provided for monitoring a space divided into several monitoring regions. Each of the monitoring regions is monitored by a surveillance camera. The hand-off monitoring method comprises receiving a warning signal from a location and identifying a first surveillance camera related to the location according to the warning signal. Then, an object triggering the warning signal is identified according to a video signal provided by the first surveillance camera. A moving path of the object is predicted according to a non-linear movement prediction model. Then, a control operation is performed, according to the moving path, to control the surveillance cameras in the monitoring regions where the moving path passes so as to hand-off monitor the object.

The invention provides a three-dimensional numerical simulation method for ship large-scale rolling motion, which comprises the following steps of reading a grid file to carry out ship hydrostatic calculation; calculating an influence coefficient matrix of boundary integral equation for Taylor expansion boundary element method; solving velocity potential of laminated modes and its spatial first and second derivatives and mj terms; carrying out the green's function in time domain and its spatial derivative solution; calculating a roll damping coefficient; carrying out the irregular wave decomposition, linear superposition into incident wave time calendar; carrying out the direct time-domain disturbance wave force calculation by taylor expansion boundary element method; calculating incidentwave force and hydrostatic recovery force; modeling a large-scale motion forecasting equation; using the fourth-order runge-kutta method to solve the motion equation step by step to evaluate the nonlinear motion of the ship in the top wave or oblique wave; and carrying out the numerical simulation and characteristic statistics of ship large amplitude motion in irregular waves. The method of the invention can predict the large amplitude motion of a container ship in regular waves and irregular waves, and can be used for numerical simulation and characteristic statistics of the large amplitude motion of a ship in irregular waves.

Collision probability analysis for spherical objects exhibiting linear relative motion is accomplished by combining covariances and physical object dimensions at the point of closest approach. The resulting covariance ellipsoid and hardbody are projected onto the plane perpendicular to relative velocity by assuming linear relative motion and constant positional uncertainty throughout the brief encounter. Collision potential is determined from the object footprint on the projected, two-dimensional, covariance ellipse. To accommodate nonlinear motion in accordance with the disclosed embodiments, the dimension associated with relative velocity is reintroduced by segmenting the collision tube volume into a plurality of mitered tube sections modeled as bundles of parallelepipeds in Mahalanobis space. Disclosed embodiments compute the probability of each parallelepiped as the combined object passes through the space, and sums. The method is not dependent on a specific motion propagator and is designed to handle any object shape by using pixel files of the object images.

A method and system for extrapolating and interpolating a visual signal including determining a first motion vector between a first pixel position in a first image to a second pixel position in a second image, determining a second motion vector between the second pixel position in the second image and a third pixel position in a third image, determining a third motion vector between one of the first pixel position in the first image and the second pixel position in the second image, and the second pixel position in the second image and the third pixel position in the third image using a non-linear model, determining a position of the fourth pixel in a fourth image based upon the third motion vector.

The invention relates to a simulation testing platform and a controlling method for hypersonic flight vehicle assessment and aims to solve the problem of difficult comparison of advantages and disadvantages of current controlling methods for hypersonic flight vehicles. The simulation testing platform for the hypersonic flight vehicle assessment mainly comprises a system initial parameter setting module, a six-degree-of-freedom nonlinearity moving model module, a data graphic output module and a guidance and control algorithm module. The controlling method for a hypersonic flight vehicle includes the following steps of (1) implementation step of main control software, (2) implementation step of performance assessment software and (3) implementation step of off-line simulation. The simulation testing platform and the controlling method for the hypersonic flight vehicle assessment are applied to the field of hypersonic flight vehicles.

The invention relates to a zoom regulating mechanism of an optical system, comprising a front fixed group, a first zoom group, a second zoom group, a third zoom group and a rear fixed group, wherein the first zoom group and the third zoom group are positive focal power; the second zoom group is negative focal power; the fixed groups are immobile during the whole zooming process; the front and the rear fixed groups have the function of focusing, the three zoom groups are used for zooming, the first zoom group and the third zoom group of the zoom part move along the same track and are called a double-group linkage component; when the focus length of an objective lens becomes long from short, the linkage zoom component makes linear motion forwards or nonlinear motion, meanwhile, the second zoom group of the zoom part makes nonlinear motion backwards, and the image surface within the whole zoom range can be kept stable by the compensation function of the zoom groups. In the invention, the focus can be rapidly changed within a certain range to obtain images with different ratios, and during the continuous zoom process, the size of a scenery on the image surface can be continuously changed along with the continuous change of the multiplying power among objective images.

The invention relates to a numerical simulation method capable of taking the nonlinear percolation feature of a tight sandstone reservoir into consideration, which includes the following steps: a micro-tube experiment is carried out on a target tight sandstone reservoir, and the boundary layer thickness of the target tight sandstone reservoir is calculated; a relation between the boundary layer thickness of the target tight sandstone reservoir and pressure gradient, throat radius and fluid viscosity is fitted; a mercury injection experiment is carried out on the target tight sandstone reservoir, and an experimental result is fitted, so that a relation between the capillary force of the target tight sandstone reservoir and mercury saturation is obtained; the relation between the boundary layer thickness of the target tight sandstone reservoir and pressure gradient, throat radius and fluid viscosity and the relation between the capillary force and mercury saturation are substituted into a Poiseuille equation and integration is carried out, so that a nonlinear motion equation is obtained; according to the nonlinear motion equation, a nonlinear mathematical model for the target tight sandstone reservoir is established; the nonlinear mathematical model for the target tight sandstone reservoir is solved, and thereby the productivity of the target tight sandstone reservoir taking nonlinear curved sections into consideration is obtained.

The invention discloses a method and a device for tracking and measuring the displacement of targets in image sequences and a method and a device for carrying out strain and strain rate imaging according to the measured displacement. The method mainly comprises the following steps of: a construction step: constructing energy functions by utilizing image gray level information, high order information and displacement spread functions; a resolving step and a solving step, wherein the resolving step is used for resolving images into at least two resolutions, and the solving step is used for solving the exact solutions of the energy functions on images with the lowest resolution, solving the high frequency exact solutions of the energy functions on images (excluding the images with the lowest resolution) with other resolutions and carrying out roundabout solving on the images with different resolutions so as to obtain the displacement of the targets in the images. Not only can linear motion be described but also the nonlinear motion can be described according to the method and the device. Moreover, the method and the device are not easy to be disturbed by noise and the gray level changes of the images.