219 results about "Discrete system" patented technology

Collaboration between discrete systems and a shared system to consolidate shared storage-related services. In one example, shared, consolidated storage-related services and high-availability are provided by pairing each of a plurality of discrete block storage virtualization modules residing on each discrete computer system to a shared block storage virtualization module residing on a shared computer system, and maintaining logical volume coherency locally by each of the plurality of discrete block storage virtualization modules, and globally by the shared block storage virtualization module. Additionally, allocation of a set of block storage virtualization functions to be performed by at least one of the plurality of discrete block storage virtualization modules or the shared block storage virtualization module can be made according to the pairing.

A hands-free, heads up and discrete system and method for controlling a peripheral device using foot gestures is provided. The system includes a foot-based sensory device that includes one or more sensors, such as pressure sensors, gyroscopes, and accelerometers, that receive sensory information from a user's foot, interpret the information as being linked to specific commands, and transmit the commands to at least one display device for controlling the display device. The system also includes a feedback system for providing tactile, visual and / or auditory feedback to the user based on the actions performed, information provided by the display device and / or information provided from another user.

A generalized formalism for diagnostics and prognostics in an instrumented system which can provide sensor data and discrete system variable takes into consideration all standard forms of data, both time-varying (sensor or extracted feature) quantities and discrete measurements, embedded physical and symbolic models, and communication with other autonomy-enabling components such as planners and schedulers. This approach can be adapted to on-board or off-board implementations with no change to the underlying principles.

The invention discloses a variable-field scanning microscopic method based on a fixed optical path system, and a device thereof. At first, a beam expanding system is used for uniformly expanding laser beams which are transmitted from a laser so as to form uniform laser beams; then a two-dimensional space discrete system is used for the two-dimensional space discretization of the uniform laser beams so as to form a sub-beam of M multiplied by N; the sub-beam of M multiplied by N orderly passes through a collimating lens, a scanning galvanometer, a reflector, a dichroic mirror and a fluorescence microscope, and then focuses on the sample on a sample platform; thus the excited fluorescence can be formed on the sample; the fluorescence microscope is used for collecting the excited fluorescence, which is transmitted into an imaging system after being reflected by the dichroic mirror and focused by a focusing lens. The scanning of the galvanometer and the crossing movement of the sample platform are combined: the scanning step length and the scanning step number of the galvanometer are changed; the area of the unit viewing field is used as the step length to move the sample platform; thus the scanned viewing field can be changed. The scanning microscopic method realizes the flexible switching between the low-resolution large viewing field and the high-resolution small viewing field, and satisfies the requirements in different biomedical applications.

A wearable RFID device may include one or more manually activated RFID tags configured to transmit unique RFID signals in response to a manual activation thereof. Such wearable RFID devices may be worn about any aspect of a user's body, such as a hand, a wrist or an arm of the user, who may contact the manually activated RFID tag and transmit an RFID signal that is consistent with a particular action or instruction associated with a task. The action or the instruction may be executed based on the RFID signal, or upon receiving a confluence or sequence of RFID signals. Additionally, a wearable RFID device may be recognized by one or more discrete systems and configured to operate such systems accordingly.

A method of monitoring a birth process, comprising: receiving, over time, a plurality of position signals from one or more positioning elements or tissue areas located at least one of a cervix and a fetal head; and determining a discrete state of labor of a fetus that is wholly inside a body responsive to said position signals, with a temporal resolution of better than 15 minutes, said discrete state being other than a start or stop of labor and encompassing more than a single contraction, said state including a state other than an abnormal fetal head position.

A novel method for real-time small-signal stability analysis for power electronic-based components in a power system. The method is based on impedance measurement techniques and Generalized Nyquist Criterion. The method is capable of real-time application. The method may be used to monitor a system in real-time by perturbing the system persistently and utilizing the system's responses to calculate source / load impedance in time-domain and based on d-q impedance measurement theory. Time-domain results may be transferred to frequency-domain results by taking advantage of a fast Fourier transform algorithm (or optionally discrete Fourier transformer for discrete systems) and monitoring the system's stability by obtaining a Nyquist contour and employing Generalized Nyquist Criterion or unit circle criterion.

A stratospheric airship plane path tracking control method based on model predictive control comprises a step of desired tracking value giving; a step of guidance error calculation in which the distance error and angle error between a desired position and an actual position are calculated; a step of vertical and horizontal dynamic equation decomposition in which only the horizontal state quantity is adopted in controller design; a step of discrete system equation solving in which a stratospheric airship lateral continuous system obtained by the steps above is linearly processed, error derivatives are linearly processed, then, the airship lateral state quantity and error are taken as an extended quantity, and an extended continuous state space equation is discretized; a step of system future prediction in which the state or output quantity of a future period of time is predicted according to the current state quantity obtained by a combined inertial navigation sensor and the like; and a step of model predictive control objective function construction in which an objective function is constructed with a predicted state quantity, and the function is solved by a standard QP algorithm to obtain the system input quantity.

An optical system comprising two or more optical switches co-packaged together comprising discrete sets of input fiber ports (N per set) and an output fiber port (1 per set), and wherein λn from said set of multiple input fiber ports (N) is focused on λn mirror via the use of shared free space optics, one or more discrete arrays of micro electromechanical system (MEMS) mirrors in a shared array, wherein at least a first array of MEMS mirrors is utilized to select and switch selected wavelengths from the first set of input fiber ports to an output fiber port of the same set, and wherein at least a second array of MEMS mirrors using and sharing the same free space optics as the first MEMS array is utilized to produce another fiber optic switch, thus, enabling one or more N×1, or alternatively one or more 1×N co-packaged optical switching system.

The invention discloses a grid-free Galerkin method structural topology optimization method based on GPU parallel acceleration. The grid-free Galerkin method structural topology optimization method mainly comprises the steps of 1 reading data into a host machine memory, arranging integral points through a CPU, establishing the relation of nodes, the integral points and local lattice searching, computing node influence domain radiuses and the integral point definition domain radiuses, confirming the relation of the nodes and the integral points and then copying the data into a GPU global memory; 2 setting different GPU thread blocks and the thread number according to different calculating data; 3 performing asynchronous assembly through the CPU and a GPU and solving a grid-free Galerkin method global discrete system equation to obtain a displacement approximate solution; 4 performing structural topology optimization calculation in the GPU and judging whether iteration is finished or not and a result is output or not according to residual errors of design variables. The grid-free Galerkin method structural topology optimization method is low in hardware cost and good in universality and can reduce a large amount of time consumption on the premise that the engineering accuracy requirement is met.

The invention discloses a device and a method for compensating a frictional error of a servo system of a numerical control machine tool. Position feedback control and friction feedforward compensation are realized to further eliminate the frictional error by adopting a multi-sampling rate control structure of a discrete system. In the multi-sampling rate control structure, the sampling frequency of friction feedforward is required to be higher than that of position feedback. The multi-sampling rate control structure can realize a detailed friction feedforward compensation function in the position feedback under the condition of not changing the structure and stability of a servo feed control system. In the calculation of the amount of detailed friction feedforward compensation, the output of a position interpolator of the servo feed control system is utilized to obtain more detailed compensation speed instruction input by a linear interpolation method, and the amplitude change of a frictional force is predicted and the amount of the compensation is determined by adopting an exponential friction model. In the compensation method, the characteristics of the multi-sampling rate control structure and the structure of the servo system are fully utilized to improve the output accuracy and output frequency of the friction compensation, thereby achieving a more accurate friction compensation effect.

An outboard motor comprises an engine contained within an engine compartment formed within a power head of the motor. The engine includes a generator having a stator and a rotor. The stator is cooled by a cooling component to reduce the operating temperature of the stator. The cooling component generally comprises a heat transfer plate or cooling jacket that is positioned adjacent to at least a portion of the stator to usher heat build-up away from the stator portion of the generator. The cooling jacket may be in fluid communication with other cooling jackets or may be a discrete system that is separate and distinct from other cooling systems of the motor.

A computer-based platform is provided for integrating data from multiple systems including (but not limited to) point of sale (POS) terminals, video systems, electronic article surveillance (EAS) systems, automatic teller machines (ATMs), gas pumps, alarm systems, radio frequency identification (RFID) detection systems, etc. The subject computer-based platform is configured to gather and correlate data (e.g., transactional data and / or video data), package such data into multiple discrete system “events”, and to provide various features for proactively identifying selected events as “exceptions”. Additional aspects of the computer-based platform may be utilized to provide signaled identification to a user of identified exceptions and other integrated system data. Still further aspects of the platform can be used to group these new events to create larger groupings of multiple transactions, events, data, exceptions, and / or research. This larger grouping can be derived from similar or diverse input systems and can be treated as a new entity that can be acted on independently.

The invention uses the idea of hierarchical structure control optimization to provide a manipulator actuator fault tolerant control system based on a double-layer structure and a method thereof, which belongs to the technical field of automatic control. In order to reduce the computational complexity and improve the instantaneity, a discrete system model under an actuator fault is established in an expansion manner through Taylor series. An FDD unit is designed to initiatively deal with a fault problem. The estimated fault information is introduced into a fault model to realize active fault tolerance. Uncertainties of the actual system are considered. A feedback correction mechanism is used for compensation. A manipulator fault tolerant controller is composed of a trajectory planning layer and a tracking control layer. According to different control objectives of each layer, a controller is designed separately, which is more specific to the problem. The fault tolerant control of the double-layer structure can deal with the existing system constraints, has strong robustness, can effectively solve the problem of the constant deviation fault of a complex manipulator actuator, and ensures the stability and the control performance of the whole system.

The invention relates to an inertial navigation platform and Beidou satellite-based high-precision and ultra-tightly coupled navigation method. According to the method, a stochastic linear time-invariant discrete system mechanical model is established according to a moving object state equation and a measurement equation; statistic analysis is performed on the first-order difference sequence and second-order difference sequence of redundancy measurement values of a system, so that a redundancy measurement-based adaptive Kalman filtering algorithm can be realized, and therefore, the measurement noises of the system can be estimated accurately, and noise variance R can be adjusted adaptively; according to a traditional ultra-tightly coupled structure, a neural network prediction module is introduced so as to be used for assisting a Beidou satellite carrier tracking loop and a code tracking loop under a lock loss state; a time delay filter is adopted for a Beidou satellite receiver, and therefore, the correlation between loop tracking errors and update time in the ultra-tightly coupled system can be significantly improved. The method of the invention belongs to the navigation control technical field and can be applied to high-precision navigation of carriers carrying strapdown inertial navigation platforms.

The invention, which belongs to the advanced control field of the industrial process, relates to a time-varying-delay-and-interference-based hybrid 2D tracking control method of an injection molding process. An injection molding process is represented by a typical multi-stage batch process; an error is introduced and an injection molding process two-dimensional augmentation model is built to obtain a two-dimensional state space time-delay system model; a state space model of an equivalent 2D switching time-delay discrete system is established; according to different stages, a segmented Lyapunov function with time-delay information is selected; on the basis of a 2D stability theory, an anti-jamming 2D controller that has extension information and depends on the upper limit and lower limit of the time delay as well as switching time is calculated. According to the invention, a control method enabling the process to be operated stably and the control precision to be improved obviously isdeveloped, so that objectives of reducing the cost investment and improving the production efficiency are achieved; and a problem that the system performance is reduced and even is not stable becauseof the delay phenomenon is solved.

The invention discloses a robust fault tolerant control method for a multi-time-delay quadrotor helicopter flight control system. On the condition that a sensor breaks down, a quasi-integral type sliding mode prediction model with global robustness is constructed. On the basis of a particle swarm optimization algorithm, the rolling optimization process is improved, and the convergence rate is increased. Due to a reference trajectory containing compensation terms, and poor influences caused by system uncertainty, multiple time delays and sensor faults on the system performance are restrained. The method is used for robust fault tolerant control of a sensor fault uncertain discrete system with state time delay and input time delay.

The invention discloses a robust fault-tolerant control method for small unmanned aerial vehicle flight control system. According to the discrete system with parametric uncertainties and time-varying delays in the case of actuator failure, a simulated-integral sliding mode prediction model is constructed. The model can ensure the global robustness of an entire dynamic process and deal with the influence of the fault incurred from the parametric uncertainties and time-varying delays on the progressive stability of the sliding mode. Through the use of the improved chaotic particle swarm optimization (PSO) algorithm to improve the rolling optimization process, the method can effectively avoid the problems that the traditional particle swarm algorithm is easy to fall into the local extreme point in the excellence seeking process and that the convergence rate is slow. In the invention, a new reference trajectory is proposed, which can reduce the influence of system uncertainty and time-varying delay to an acceptable range through compensation, and can also suppress the buffeting phenomenon of the sliding mode obviously. The invention is used for the robust fault-tolerant control for a discrete system with parametric uncertainties and time-varying delays in the case of actuator failure.

A data communication network has computer systems that process virtual network elements during network processing time cycles to forward data communication packets for user data services. The computer systems process hardware-embedded codes during the network processing time cycles to identify the computer systems. A security server validates the computer system identities for the virtual network elements. A database system maintains a distributed data structure that individually associates the data services, the computer systems, the virtual network elements, and the computer system validities. The security server and the database system could be discrete systems or they may be at least partially integrated within the computer systems where they would typically execute during different processing time cycles from the virtual network elements.

The invention discloses a measuring and adjusting process-considered tolerance design method of a precise machine tool, which comprises the steps of: firstly defining a related coordination system according to a key feature plane; then determining a state space equation and a basic coefficient matrix thereof of a machine tool assembly; next, establishing a cost target function, obtaining an optimal adjustment sequence by a discrete system output regulator so as to convert the state space equation into a Gauss-Markov random process equation; then obtaining a covariance matrix, and performing iteration computation to obtain the covariance matrix after integral assembly is finished; computing a corresponding function relationship between a total precision index and a part precision index of the machine tool according to the covariance matrix after the integral assembly is finished; finally, establishing a function relation between a precision total cost and a part precision and solving to obtain an optimal part tolerance allocation result. The method can be used for accurately and reliably analyzing the tolerance of the machine tool, thus ensuring the precision performance of the machine tool.

The invention discloses a multi-system cooperative system and method for production process control of discrete manufacturing enterprises. The multi-system cooperative system is used for cooperative work and data sharing of a production management system with multiple production chains during production, and comprises an information management subsystem, a cooperative management subsystem and a data synchronization subsystem. The multi-system cooperative method includes: configuring the process and defining the production chains; conducting system mapping to finish automatic correlation of the systems and the production chains; building topology, and displaying topology connection directed graphs of systems in real time according to the production process configuration and regular files; dynamically adjusting the topology relation and building a final connection directed graph of the production systems; adding orders and selecting corresponding production processes for the orders; distributing tasks; synchronizing and updating data and mastering the production schedule in real time. The multi-system cooperative system and method achieves organic interconnection and data sharing of independent systems through effective integration of the discrete systems, achieves smart production of the enterprises and improves the whole efficiency.

The invention discloses an active fault-tolerant predictive control method for faults of multiple actuators in a discrete system, especially provides an active fault-tolerant control method which considers common partial faults of multiple actuators in the discrete control system and combines with a discrete sliding mode observer and a model predictive control. According to an initial state modelof the system, considering the step type disturbance and error, an augmented state model of an embedded integrator is designed and predictive control rules are designed. According to a fault model, asecond-order discrete sliding mode observer is designed to detect fault factors of the faults of the multiple actuator, compensate the predictive control rules, and finally form a complete active fault-tolerant predictive controller. The active fault-tolerant predictive control method for the faults of the multiple actuators in the discrete system accurately estimates the fault factors by designing the second-order sliding mode observer, and designs the predictive control rules by using the model predictive control algorithm, can realize an online optimization of the control rules and effectively improves the control precision of the controlled system, provides good fault tolerance to the fault control system with multiple actuators. The active fault-tolerant predictive control method forthe faults of the multiple actuators in a discrete system is used for the active fault-tolerant control of the faults of the multiple actuators in the discrete system.

The invention relates to a mine multiple-system linkage control system based on imaging and a control method thereof. The control method comprises the steps of integrating multiple sets of underground systems, classifying, organizing and sharing resource information of discrete systems according to data types including analog quantity, Boole, calculation, delaying, device control, switch value, event action, statistical data, texts, accumulation, trend and the like, performing configuration to combined action relation among the systems by means of an imaging organization method to form a linkage pre-arranged plan, and performing real-time judgment and implementation through a linkage pre-arranged plan scheduling and implementing module. After the method is adopted, when a single system in a mine breaks down or an abnormal situation is detected, the associated systems can be controlled and corresponding actions can be taken according to the linkage pre-arranged plan so as to improve the comprehensive performance of subsystems in the mine, emergencies can be responded efficiently, and safety production efficiency of the coal mine is improved.

The invention relates to a blind signal-to-noise ratio estimation method based on pseudo bit error rate statistic, belonging to a technical field of signal-to-noise ratio estimation in digital communication. The invention is characterized in comprising the following steps: baseband processing, discretization filter match, eliminating existed carrier wave frequency, phase error and timing error; selecting decision point by decision device, and pseudo bit error rate statistic and signal-to-noise ratio mapping. The invention performs pseudo bit error rate statistic by utilizing the message of multi sampling points in each modulation symbol of discretization system, and again performs one-to-one mapping by utilizing corresponding relation between the pseudo bit error rate and the signal-to-noise ratio, thereby obtaining signal-to-noise ratio estimation value. The invention is applicable for BPSK and QPSK modulation signal; no additional training sequences are needed, and can perform the signal-to-noise ratio estimation at lower complexity and reasonable performance and is suitable for various occasions where the signal-to-noise ratio estimation is required.

The present invention discloses a sliding mode robust control method of a discrete time delay uncertain system. A multi-population chaotic simulated annealing particle swarm optimization algorithm is used to optimize a support vector regression machine (SVR) structure parameter, a combined kernel function support vector regression machine is used to give a system prediction model, a control law is solved through a novel sliding mode reaching law, and the reachability of a sliding mode can be guaranteed. The method is used for the robust control of uncertain discrete system with state time delay.

The invention relates to an improved single-neuron PID tuning method based on a discrete system. When a control system is in the dynamic state, a single-neuron PID controller with the self-adaptive proportionality coefficient lambda is adopted, and the single-neuron proportionality coefficient is completely controlled by the input-output error e(k), so that parameters of the single-neuron PID are completely and automatically tuned by the system, and manual evaluation is not required; the single-neuron PID is poor in steady state effect, so that after the system is in the steady state, the conventional PID with the self-adaptive integral grain Ki is adopted to improve the steady-state performance, and the integral grain parameter Ki is also completely controlled by the input-output error e(k) of a controlled object. According to the method, all the parameters are automatically tuned, the method is high in robustness, and the control effect cannot be degraded along with aging and damage to the controlled object; the parameters can be adjusted automatically during interference, so that the effect caused by the interference on the control system is reduced.

An electronic system without using solder balls between electrical components, and without using interposer between chips and package substrate, without using a discrete system board for the chip package to mount. A chip is wrapped by molding material, a first redistribution circuitry is built on a bottom side of the molding material; a second redistribution circuitry is built on a bottom side of the first redistribution circuitry. A third redistribution circuitry is built on a bottom side of the second redistribution circuitry. Plated metal vias are configured between each two of the electrical components.

The invention relates to a nonlinear filtering method based on polytope differential inclusion, which belongs to the technical field of system filtering and control. The method comprises the steps of describing a nonlinear filtering error system with a PLDI (Programming Language Design And Implementation) model, converting a nonlinear filtering algorithm design problem to a linear uncertain system robust filtering algorithm design problem, designing a dynamic equation for estimated error correction solving by a hybrid robust H2 / H-to-infinity filtering method, then designing a discrete nonlinear filtering equation by combining an EKF (Extended Kalman Filter) one-step prediction equation, and applying the discrete nonlinear filtering equation to a nonlinear discrete system to obtain the state estimation of the nonlinear discrete system in real time. According to the method, the nonlinear filtering design is simplified, the filtering gain is not required to be updated in real time, and the jacobian matrix is not required to be computed in real time in the implementation process, so that the computation amount is reduced greatly, the real-time performance of the nonlinear filtering is improved effectively, and the method is applicable to the design of a nonlinear filter.

A method, system, and computer-readable storage medium are disclosed for partitioning a scene with discrete oriented planes. In one embodiment, a scene comprising a plurality of objects may be partitioned into a plurality of sub-regions. The sub-regions may be divided by a plurality of planes having orientations selected from a discrete set of orientations comprising at least one orientation that is not the x axis, y axis, or z axis and is at a nonzero angle with respect to the x, y, or z axes. The partitioned scene may be stored in a binary tree comprising a plurality of nodes. Each node may correspond to a sub-region. In one embodiment, a ray tracing query may be solved for a particular ray. In solving the ray tracing query, the tree may be traversed to identify a first object of the plurality of objects intersected by the ray.

A method of building discrete system simulations, comprising a sequential set of questions asked of the author of the system, the inclusion of said questions being dependent upon answers to preceding questions and thus context-sensitive, comprising steps of implementing said sequence in software as an interactive process and skipping any steps that are irrelevant in view of earlier input. The method further comprises steps of providing an engine for a simplified, directed construction in logical top-down order of a model for simulation of a discrete-time system providing an engine for the conversion of a model created by a model-building apparatus to human-readable textual output that uniquely specifies the model.