599 results about "Performance function" patented technology

Generalized learning rules may be implemented. A framework may be used to enable adaptive spiking neuron signal processing system to flexibly combine different learning rules (supervised, unsupervised, reinforcement learning) with different methods (online or batch learning). The generalized learning framework may employ time-averaged performance function as the learning measure thereby enabling modular architecture where learning tasks are separated from control tasks, so that changes in one of the modules do not necessitate changes within the other. Separation of learning tasks from the control tasks implementations may allow dynamic reconfiguration of the learning block in response to a task change or learning method change in real time. The generalized spiking neuron learning apparatus may be capable of implementing several learning rules concurrently based on the desired control application and without requiring users to explicitly identify the required learning rule composition for that task.

Generalized learning rules may be implemented. A framework may be used to enable adaptive signal processing system to flexibly, combine different learning rules (supervised, unsupervised, reinforcement learning) with different methods (online or batch learning). The generalized learning framework may employ time-averaged performance function as the learning measure thereby enabling modular architecture where learning tasks are separated from control tasks, so that changes in one of the modules do not necessitate changes within the other. The generalized learning apparatus may be capable of implementing several learning rules concurrently based on the desired control application and without requiring users to explicitly identify the required learning rule composition for that application.

Systems and methods are provided to create an acoustic map of a space containing multiple acoustic sources. Source localization and separation takes place by sampling an ultra large microphone array containing over 1020 microphones. The space is divided into a plurality of masks, wherein each masks represents a pass region and a complementary rejection region. Each mask is associated with a subset of microphones and beamforming filters that maximize a gain for signals coming from the pass region of the mask and minimizes the gain for signals from the complementary region according to an optimization criterion. The optimization criterion may be a minimization of a performance function for the beamforming filters. The performance function is preferably a convex function. A processor provides a scan applying the plurality of masks to locate a target source. Processor based systems to perform the optimization are also provided.

Methods for training machines to categorize data, and / or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples. Also provided are tools, systems, and devices, such as support vector machines (SVMs) and other methods and features, software implementing the methods and features, and computers or other processing devices incorporating and / or running the software, where the methods and features, software, and processors utilize specialized methods to analyze data.

Abstract of Disclosure A computer-based system is described that provides users with the ability to develop high-fidelity digital quantitative representations of physical and chemical phenomena, and to employ an optimization-based approach to control associated physiochemical processes. The system includes a computational environment, intuitive user interface(s), integrated software libraries, analytical tools, and visualization / rendering engine that together provide an integrated framework for nanoscale modeling, analysis, simulation, and synthesis. Additionally, the system includes an optimal linear control synthesis methodology that incorporates a first order dynamic mathematical representation (of the conceptual molecular system) suitable for applying various pragmatic control system techniques including optimization of structured singular values, linear quadratic performance functions, Lyapunov criteria, or similar, for the purposes of nanoscale fabrication and molecular assembly.

A method and apparatus for link adaptation is provided. A node stores a set of transmit parameters and corresponding selection probabilities for each of the transmit parameters. The node stochastically selects a particular transmit parameter based on the selection probabilities, and then transmits a packet according to the particular selected transmit parameter. From received transmission feedback information, the node derives performance statistics, and uses the performance statistics to specify an estimated performance function for the particular transmit parameter. The node updates a selection probability computation function (SPCF), and uses the SPCF to generate updated selection probabilities corresponding to each transmit parameter in the set of available transmit parameters.

Generalized learning rules may be implemented. A framework may be used to enable adaptive signal processing system to flexibly combine different learning rules (supervised, unsupervised, reinforcement learning) with different methods (online or batch learning). The generalized learning framework may employ average performance function as the learning measure thereby enabling modular architecture where learning tasks are separated from control tasks, so that changes in one of the modules do not necessitate changes within the other. Separation of learning tasks from the control tasks implementations may allow dynamic reconfiguration of the learning block in response to a task change or learning method change in real time. The generalized learning apparatus may be capable of implementing several learning rules concurrently based on the desired control application and without requiring users to explicitly identify the required learning rule composition for that application.

Disclosed are a portable terminal with a music performance function and a method for playing a variety of musical instruments. The method includes: selecting a particular piece of music and a particular musical instrument from the portable terminal, according to a user request, and executing a music performance mode corresponding to the selected musical instrument; detecting a first input signal input to a screen according to the selected musical instrument in the musical performance mode; determining, if the first input signal is detected, whether a second input signal for executing audio source data is detected; analyzing the first and second input signals, in association with each other; and outputting audio source data of the selected music, according to the analyzed result, via audio signals.

The invention discloses a method and a device for invoking a performance function. The method comprises the following steps: extracting interface information of the performance function in application software; registering the extracted interface information of the performance function in a database; publicly issuing the interface information of the performance function in the database; receiving a demand of invoking the performance function input by a user, searching the corresponding interface information of the performance function in the database and using the searched interface information to invoke the performance function. The invention can invoke the performance function in a general manner.

The invention discloses a specific performance based consistency control method for multiple intelligent agents. The control method comprises that the intelligent agents as communication nodes establish a communication topology; neighbor node and self state information is obtained according to the communication topology; the state information includes the position and speed; a tracking error of aleader is calculated according to the state information; the specific performance of the tracking error is transformed via a design performance function, and a transformed error model is obtained; andaccording to the transformed error model, an event triggering adaptive controller of a follower is designed via a backstepping method and a dynamic surface technology, an event triggering mechanism is designed, and specific performance based consistency control for the intelligent agents is realized. A system can obtain expected transient performance and stable error in the control process rapidly and precisely, the communication cost among the intelligent agents can be reduced, the application range is wide, and the application value is high.

Systems, products and methods are provided for optimizing an assortment of product or services. The method comprises the steps of (a) categorizing the product assortment into a plurality of categories, (b) calculating a performance function for each category that describes the relationship between the number of products in the category and the performance of that category, wherein the performance function predicts the effect of removing or adding category products on performance of the category, and (c) improving the retailer's total performance by determining the number of products to sell in each category based on the performance function for each category.

The invention discloses a preset performance ocean bottom flying node trajectory tracking control method based on a disturbance observer, relates to a preset performance ocean bottom flying node trajectory tracking control method, and aims to solve the problems that an existing method does not consider modeling uncertainty and ocean environment disturbance and propeller faults affect the OBFN (Ocean Bottom Flying Node). The method comprises the following steps that: 1: establishing a Fossen outline six-degree-of-freedom nonlinear kinetic model; 2: carrying out OBFN kinetic model transformationon the nonlinear kinetic model established in S1 to obtain an OBFN kinetic model, and determining an OBFN tracking error equation according to the OBFN kinetic model; 3: establishing a performance function; 4: carrying out error transformation on the tracking error in the S3 to obtain a transformed error; and 5: according to the transformed error obtained in S4, designing an OBFN system total uncertainty observer and a preset performance trajectory tracking controller. The method is used in the field of trajectory tracking control.

The invention discloses a method for expanding software application, comprising the following steps: step 102, register service interface of performance function of software; step 104, register a plug-in unit for the service interface; step 106, publishing the service interface to lead the outside to call the performance function by the plug-in unit. The invention further discloses a device for expanding software application, comprising a service interface registration module which is used for registering the service interface of the performance function of the software; a plug-in unit registration module which is used for registering the plug-in unit for the service interface; a publishing module which is used for publishing the service interface, so as to lead the outside to call the performance function by the plug-in unit; therefore, the method and the device for realizing extraction, publishing and expanding function service can be realized, so as to help the existing software system to build a standard service interface system and be used for supporting personalized plug-in unit expansion of the original soft system.

The invention relates to a default performance formation controller structure for multi-mobile robots and a design method. N double-mobile robots containing unknown dynamic states are regarded as followers, the networked system formed by connecting the followers with a leader through a one-way topological graph is regarded as a controlled object, and a time-varying formation controller with default performance is designed by using the active-disturbance-rejection and inverse techniques, so that the following robots track the reference trajectory of the leader and build and keep a desired time-varying rank, and the tracking error is within a preset range. The default performance formation controller structure has the advantages that according to the characteristic that an extended state observer is independent of a precise mobile robot model, the unknown dynamic states are compensated through estimation of the extended state amount in real time, so that the designed time-varying formation controller has a disturbance rejection capacity; the derivative of a complicated nonlinear function is effectively estimated by means of a tracking differentiator; the convergence precision and rate of a formation error are improved by using a default performance function; the problems about the unknown dynamic states, complicated derivation reduction and precision control in a system can be effectively solved.

The invention provides a self-adaption reliability analysis method. The self-adaption reliability analysis method includes the steps that sampling is carried out in indeterminate probability space, aninitial DoE is selected, and a Kriging substitution model is built through the initial DoE; sampling is carried out with the important sampling method, and candidate samples are obtained; a sample point nearest to a performance function limit state surface in the candidate samples is screened, and a response value of the sample point is computed; whether the Kriging substitution model meets the convergence criterion or not is judged, if the Kriging substitution model does not meet the convergence criterion, the sample point and the response value are added into the DoE, and the Kriging substitution model is updated according to the result till the Kriging substitution model meets the convergence criterion; the reliability of the Kriging substitution model is evaluated, if the Kriging substitution model does not meet the accuracy requirement, the quantity of candidate samples is increased with the important sampling method, and iteration updating is carried out according to the resulttill the Kriging substitution model meets the accuracy requirement. According to the self-adaption reliability analysis method, the analysis efficiency and accuracy of the reliability of a structure system in practical engineering can be effectively increased.

The invention discloses a compiling method from an intermediate language (IL) program to a C language program of an instruction list. The method comprises the steps: building a middle storage structure syntax tree according to results of lexical analysis and grammatical analysis through logical analysis on a program of the instruction list and logistic mapping relation between semanteme of the instruction list and semanteme of the C language; combining an auxiliary performance function and an auxiliary data structure define file, and generating an integrated file of the C language program through program data of an original instruction list according to a C language programming method, wherein the program data of the original instruction list is stored in the structure of the syntax tree. The generated C language program completely corresponds to the logic program of the original instruction list and has the advantages of a high-level C language, wherein the advantages include strong transportability, strong compatibility and the like. Due to the structure of the syntax tree and an analytic method of semanteme mapping, compiling is standardized and mass-produced, complexity of the compiling is reduced through adoption of functions and modularization of an auxiliary function of a function block, compiling time is shortened, and speed of the whole compiling process is improved.

The invention discloses a method for collaboratively searching for a multi-dynamic target in an unknown sea area by an unmanned aerial vehicle group based on enhanced learning. The method comprises the following steps: S1, dividing a searched sea area by using a grid method; to be specific, establishing a territory awareness information map based on the pheromone concentration of an unmanned aerial vehicle in a certain area; S2, according to unmanned aerial vehicle state information and a decision u(k), designing a Q value table; S3, according to a Q value of the current state of the unmannedaerial vehicle group, selecting flight routes of the unmanned aerial vehicles based on a Boltzmann distribution mechanism and performing the rotues; S4, according to a search performance function, designing a punishment function for evaluating the flight state of the unmanned aerial vehicle and updating a Q value of an arrival new state of the unmanned aerial vehicle group based on the punishmentfunction; and S5, updating the arrival new state of the unmanned aerial vehicle group to be a current state, making a flight route decision continuously, completing learning of the whole Q value table, and making a decision by the unmanned aerial vehicle group based on the trained Q table to complete the search task.

The invention relates to a multi-single-arm manipulator output consistence active disturbance rejection controller structure with pre-defined performance and a design method thereof, in particular toa multi-single-arm manipulator output consistence active disturbance rejection controller, and belongs to the technical field of industrial process control. The active disturbance rejection technologyand the inversion technique are used for designing the multi-single-arm manipulator output consistence active disturbance rejection controller, the characteristic that extension state observers do not rely on a system model is utilized, and the influence of disturbance can be estimated and compensated in real time, so that the designed controller has the anti-disturbing property; tracking differentiators are designed to simplify the phenomenon of complex signal derivation of "explosion"; a manipulator system is restrained by a driving torque, the input saturation characteristic is considered,and the amplitude limiting problem of the driving torque is solved by an auxiliary system; the convergence speed and accuracy of the output consistence error are improved by using a pre-defined performance function; and according to the designed scheme, the unknown dynamic of the system can be effectively estimated, the derivation is simplified, and the control precision is improved.

In a virtualization system, physical volumes are virtualized between servers and storage systems such that even when high-performance functions including a remote copy are provided, a virtualization unit does not become a bottleneck of processing. For this purpose, a virtualization node to conduct virtualization includes at least one virtualization switch which receives data from a server and converts the data into data for a real volume to send the data to an associated storage and which receives data from a storage and converts the data into data from a virtualized volume to send the data to a server and at least one virtualization server which receives data requiring processing such as a remote copy from the virtualization switch, performs a particular processing for the data, and then transmits the data via the switch to a server or a storage.

Generalized learning rules may be implemented. A framework may be used to enable adaptive signal processing system to flexibly, combine different learning rules (supervised, unsupervised, reinforcement learning) with different methods (online or batch learning). The generalized learning framework may employ time-averaged performance function as the learning measure thereby enabling modular architecture where learning tasks are separated from control tasks, so that changes in one of the modules do not necessitate changes within the other. The generalized learning apparatus may be capable of implementing several learning rules concurrently based on the desired control application and without requiring users to explicitly identify the required learning rule composition for that application.

Collective operation protocol selection in a parallel computer that includes compute nodes may be carried out by calling a collective operation with operating parameters; selecting a protocol for executing the operation and executing the operation with the selected protocol. Selecting a protocol includes: iteratively, until a prospective protocol meets predetermined performance criteria: providing, to a protocol performance function for the prospective protocol, the operating parameters; determining whether the prospective protocol meets predefined performance criteria by evaluating a predefined performance fit equation, calculating a measure of performance of the protocol for the operating parameters; determining that the prospective protocol meets predetermined performance criteria and selecting the protocol for executing the operation only if the calculated measure of performance is greater than a predefined minimum performance threshold.

The invention relates to a disturbance observer based MEMS gyroscope prediction performance non-singular sliding-mode control method. The method comprises the following steps: in view of a gyrodynamics model of parameter perturbation and external time-varying disturbance, designing an adaptive update law of neutral network weight, and correcting the weight coefficient of the neutral network to realize effective estimation of unknown dynamics; introducing a performance function to limit the tracking error, and converting the limited tracking error into unlimited conversion error through errorconversion; designing a sliding-mode controller based on conversion error to realize prediction performance control on MEMS gyroscope; designing a non-singular terminal sliding-mode controller to realize feed-forward compensation of unknown dynamics while avoiding the problem of system singularity; designing a disturbance observer to perform estimation compensation on external disturbance. The method disclosed by the invention solves the problem that external disturbance, system singularity, overshooting and tracking error cannot be designed in advance, and enhances the control precision and further improves the performance of the MEMS gyroscope.

The invention discloses a spacecraft adaptive fault-tolerant attitude tracking control method with specified tracking performance. The method comprises steps: a kinematic model and a dynamic model ofthe spacecraft are built based on a certain amount of external disturbance on the spacecraft; based on the dynamic model of the spacecraft and based on unknown system fault on a spacecraft executor, an unknown actuator fault system model is built; based on the unknown actuator fault system model, a conversion error and a performance function are designed, and thus, the tracking error of the spacecrafts tends to be arbitrarily small minimum residual set under the specified tracking performance and the maximum overshoot; and the effects of the fault are compensated by estimating the boundary offault uncertainty, an adaptive fault-tolerant controller is designed, and the system tends to asymptotic stability. The method of the invention realizes high-precision system attitude tracking controlon the premise of ensuring the robustness of the system.

Systems and methods for determining an extended low contrast detectability performance function for an operating range for a core operating mode of a radiographic imaging system using actual reconstructed images characterize the contrast performance of a radiographic imaging system over its operating range and for any patient size based on the off-line calibration, uses ordered pairs of flux index and contrast index for each scanned object to provide a contrast index for each protocol for each contrast set, and uses the ordered pairs of flux index and contrast index to determine an extended low contrast detectability performance function for the operating range of a radiographic imaging system. Extended low contrast detectability performance data compilation and methods of clinical use, and low contrast phantom configurations and methods of calibration are also disclosed.

The invention discloses a form-finding method of a cable-strut tensile structure, belonging to the field of building design and structure design of a space structure. The method provided in the invention comprises the following steps: setting a topological relation of the cable-strut tensile structure and rendering constraint conditions thereof and lengths of struts; determining an objective function in form-finding analysis of the cable-strut tensile structure; setting weight coefficients of the lengths of each cable and strut as well as weight coefficients of each boundary condition, and rendering an initial step length in a gradient optimization method; and calculating a gradient vector of a coordinate variable of each node in XK. The method provided in the present invention is based on viewpoint of energy, constraints such as boundary conditions of the cable-strut tensile structure and the like are written into the performance function of the gradient optimization method, thereby a form-finding problem of the tensile structure having the constraint conditions being easily solved. Too many constraint conditions and geometric constraints are added in traditional form-finding methods, while, few constraint conditions exist in the method provided in the present invention, therefore, a large number of irregular systems can be found.

A security service providing method using a mobile terminal password and a mobile terminal thereof. A normal password and an emergency password are stored in a smart card in advance. When a password for using a special service is input by a mobile terminal user, the input password is compared with the normal password and the emergency password. When the input password corresponds to the normal password, a special service requested by the user is provided. When the input password corresponds to the emergency password, a predetermined emergency process is performed. According to the emergency process, an emergency message is transmitted to the outside through a predetermined emergency networking process, predetermined virtual process information is displayed, or an abnormal process message for indicating unavailability of provision of the requested special service is displayed to the mobile terminal. Therefore, security is guaranteed and reliability is provided to the user who uses a special service through a mobile terminal by providing an emergency process performance function to the limited function of the password used for identification and authentication.

The invention discloses a design method for a nonlinear system controller of an aero-engine. The method is directed at control problems of the affine nonlinear system of the aero-engine within a large deviation range. The method comprises the following steps: linearizing the nonlinear system of the aero-engine based on the theory of exact linearization, adopting the variable structure control in designing a non-linear sliding mode controller, changing a control structure with a purpose by using a linearized state variable to enable the linearized state variable to move based on the designed sliding mode track so as to offset parameter perturbation and exterior interference, finally directed at the key problem of designing non-linear controller parameters, adopting the artificial bee colony algorithm in adjusting the controller parameters, and calculating the optimal parameter to optimize the control effect. According to the invention, the method is directed at the problem of designing complex controller parameters, and obviates the need for tedious manual debugging and repeated verification. By using the bee colony algorithm in designing a reasonable target performance function, the method enables an automatic calculation of the optimal controller parameters and enables the non-linear controlling system of the aero-engine to have a satisfied dynamic performance and robust stability.

The invention discloses a formation control method of mobile robots under constraint of a communication range. The formation control method of mobile robots under constraint of a communication range designs a formation controller for uncertainty of models for mobile robots and guarantees that the formation error eventually converges to zero point. The formation control method of mobile robots under constraint of a communication range includes the steps: constructing dynamic models for mobile robots; defining a distance variable and an azimuth variable between the i-th mobile robot and the leader of the i-th mobile robot in a leader-follower formation structure; designing a performance function for the formation distance error and the azimuth error; combining the performance function with the tan-type obstacle Lyapunov function and a backstepping design method, designing a formation controller; and using an adaptive control technology to solve the uncertainty problem of models in the controller design. The formation controller designed by the formation control method of mobile robots under constraint of a communication range enables each mobile robot in the leader-follower formationstructure to measure both the information of the leader of the each mobile robot and avoid collision with the leader, and the formation error satisfies the preset transient performance, and eventually can converge to the zero point.

The invention relates to a technique for recombining, replacing, compressing and encapsulating network communication messages, in particular to a wide area network VPN accelerating gateway and its accelerating communication system and method. The WAN VPN acceleration gateway is: network protocol stack, IPSec and Internet key exchange protocol module, TCP agent and tunnel module and network protocol stack call in turn to form a closed-loop system, while TCP agent and tunnel module call the application package library module one-way Functions provided; ACK proxy module, package / data label cache / compression module, IPSec and Internet key exchange protocol modules are called sequentially, while package package / data label cache / compression module calls data label cache library one-way function function. The invention reduces the transmission of repeated data, greatly improves the link data transmission rate, and greatly enhances the high speed and reliability of the network.