663 results about "Rapid convergence" patented technology

Reduction of administrative overhead in maintaining network information, rapid convergence on an optimal routing path through the data network, and utilization of only required network resources are realized by a novel method for establishing a call path between network users. The method is based upon deployment of a network information server that stores network topology information and that is addressable by each end user. In this method, the network information server receives a request to establish a call path. The request identifies at least the calling party. In response to the request, the network information server determines a network traversal between the calling party and a root network wherein the network traversal includes call path information about the sub-networks between the calling party and the root network. The request for establishing a call path can also identify the called party. Based on the calling and called party identification, the network information server also determines a second network traversal between the called party and the root network. The second network traversal is sent to either the calling party or the called party or to both the calling and called parties. The server can determine an intersection of the traversals and send the intersection information to the parties. The intersection information is known as a merge point and represents an optimal call path between the parties.

A multicarrier communication apparatus capable of reducing an amount of information required for feedback, making a range of transmission power fluctuation small, and achieving rapid convergence on a target transmission power is disclosed. With this apparatus, subcarrier pair determination section (1142) puts a plurality of subcarriers contained in a multicarrier signal into pairs, notifies combining section (106) of information pertaining to the pairs of subcarriers, combines received power of each pair of subcarriers, and outputs combined received power obtained in this manner to command producing section (1146). Target power storage section (1144) stores target power for received power in such a manner that SIR at the subject apparatus becomes a desired SIR. Command producing section (1146) compares combined received power for the pairs of subcarriers and target received power, produces a command indicating a difference in power between these two received powers, and generates a control signal containing the produced command.

The invention discloses a rapidly converged scene-based non-uniformity correction method, wherein the aim of non-uniformity correction is achieved by minimizing interframe registration error of two adjacent images. The method mainly comprises the following steps of: initializing gain and offset correction parameters and acquiring an uncorrected original image; acquiring a new uncorrected original image, and carrying out non-uniformity correction on the new uncorrected original image and the previous uncorrected original image by utilizing the current non-uniformity correction parameters; obtaining relative displacement, scene correlation coefficient and interframe registration error of two corrected images by utilizing an original point masking phase correlation method; and updating correction parameters along the negative gradient direction by adopting a steepest descent method. The method disclosed by the invention has the advantages of high correction accuracy, fast convergence speed, no ghost effect and low calculated amount and storage content and is especially applicable to being integrated into an infrared focal plane imaging system, and the effect of improving imaging quality, environmental suitability and time stability of an infrared focal plane array is achieved.

The invention discloses a permanent magnet synchronous motor control method in which a vector control system is used. The vector control system comprises an outer speed ring and an inner current ring, and a PI (proportional-integral) controller of a rotating speed ring is replaced with a two-DOF (degree of freedom) higher-order nonsingular terminal sliding mode controller; the input of the two-DOF higher-order nonsingular terminal sliding mode controller is the difference between the given rotating speed w* of a motor and the actual feedback rotating speed w* of the motor; the error between the given rotating speed and the feedback rotating speed is judged, when the error of the rotating speed is less than Xi, an output exciting current iq* is calculated by a simple higher-order nonsingular terminal sliding mode controller; when the error of the rotating speed is greater than Xi, the output of the two-DOF higher-order nonsingular terminal sliding mode controller is an output iq* controlled by a higher-order nonsingular terminal sliding mode and the sum of the output and compensation gain of the higher-order nonsingular terminal sliding mode; and the size of Xi can be set according to actual situations and needs. According to the method, the system control accuracy is improved and the rapid convergence of the rotating speed of the motor is realized; and the method has strong robustness on load disturbances.

The invention discloses a wind and light storage generating unit capacity optimal configuration method based on the rated capacity. The method comprises the following steps that firstly, a model is established according to the distribution situation of the local wind resource and the local light resource; secondly, a storage battery device is controlled according to the principle about utilizing the renewable energy sources to the maximum degree and performing constant output, and a coordinated operation strategy of the system is formulated; thirdly, a target function is set to show the expenditure in the life cycle of a generating unit and, and the expenditure is set to be minimal; fourthly, the constraint condition of capacity optimal configuration is determined; fifthly, a fuzzy logic control method is utilized for dynamically adjusting an energy converting model of an energy-storing storage battery so that the energy converting model can achieve rapid convergence; sixthly, based on the target function and the constraint condition, the target function of the generating unit and capacity proportion optimal values of all parts are resolved according to an improved iteration and self-adaptation genetic mixed algorithm. According to the method, a power grid can conveniently assess the generating capacity of the generating unit, and the power grid can easily formulate the dispatching plan and improve the accepting degree for the renewable energy sources.

The invention provides a finite-time full-order sliding mode control method of a quadrotor unmanned aircraft. For the quadrotor unmanned aircraft whose model parameters are coupled in a non-linear manner, a full-order sliding mode control method is utilized and a one-order filter is adopted to design the finite-time full-order sliding mode control method of the quadrotor unmanned aircraft. The design of full-order sliding mode surfaces ensures the rapid and stable convergence of the system. In a practical control system, two full-order sliding mode surfaces including the design position and attitude angle are degisned as inner and outer control rings to realize rapid tracking of the aircraft, and the filter is added to improve the buffeting problem. The invention provides the finite-time full-order sliding mode control method of the quadrotor unmanned aircraft, based on the condition that the system model parameters are coupled in a non-linear manner, rapid convergence to a balance point in finite time of the system is ensured, the response speed of the system is increased, the buffeting of sliding mode control input is improved, and the rapid and stable tracking performance of the system is effectively realized.

The invention provides a method and system for recognition of a GIS ultrahigh frequency partial discharge signal. The method for recognition of the GIS ultrahigh frequency partial discharge signal comprises the following steps of (1) carrying out preprocessing on the GIS ultrahigh frequency partial discharge signal to obtain a three-dimensional spectrogram, (2) carrying out projection on the three-dimensional spectrogram to form a two-dimensional spectrogram, respectively extracting discharge characteristic parameters which describe shape difference of the two-dimensional spectrogram, and discharge characteristic parameters which describe difference between a positive semi-circle outline and a negative semi-circle outline of the two-dimensional spectrogram to obtain a sample to be detected, and (3) carrying out defect recognition on the sample to be detected according to an ABC-BP model which is built in advance. The method for recognition of the GIS ultrahigh frequency partial discharge signal can carry out rapid convergence to obtain the global optimum, and improves efficiency and accuracy of fault recognition of GIS partial discharge.

The invention provides a routing convergence method, provider edge devices and a virtual private network system, which belongs to the field of communication. The routing convergence method is used for a customer edge device dualhoming network, a second customer edge device dualhoming network is accessed into a second provider edge device and a third provider edge device, and the method comprises the following steps: the second provider edge device detects a link fault between the second provider edge device and the second customer edge device; and the second provider edge device is used for forwarding the received destination address as the routing message for the second customer edge device to third provider edge device, and then the third provider edge device is used for forwarding the routing message to the second customer edge device. The embodiment of the invention can realize the rapid convergence of the service flow in the CE dualhoming network when the PE-CE link fails. The technical scheme can be applied to the virtual private network.

An echo canceler has an adaptive filter that generates an echo replica signal from a far-end signal. The filter coefficients of the adaptive filter are updated according to a residual error signal, which is obtained by subtracting the echo replica signal from a near-end signal to cancel echo. A background noise estimator estimates the near-end background noise power level from the residual error signal. A step size calculator uses the estimated near-end background noise power in determining the step size of the adaptive updating of the filter coefficients. When the estimated near-end background noise level is high, a small step size is used, which improves echo cancellation under these conditions. When the estimated near-end background noise level is low, a larger step size is used to permit rapid convergence of the filter coefficients.

Techniques are described for providing fast convergence in the event of a link failure in an all-active multi-homed Ethernet virtual private network. A provide edge (PE) network device may pre-configure an interface next hop and secondary next hops. The secondary next hops may be logical links to other PE network devices in the same Ethernet segment. In the event of a link failure in the interface next hop between the PE network device and a customer edge (CE) network device, the PE network device may be configured to forward data traffic to the CE network device using the secondary next hops. In the event of a link failure between the PE network device and a core network, the PE network device may be configured to send an out-of-service message to the CE network device that instructs the CE network device to stop sending traffic to the PE network device.

The invention relates to a real-time service recovering device and method in network communication technical field. Based on BFD (bidirectional forward detection) technique, it provides a VRRP (Virtual Router Redundancy Protocol) fast converging method, detecting master router failure by BFD to compose VRRP message and transmitting the VRRP message to VRRP module, and implementing fast switching master and backup routers. And it implements combination of BFD and VRRP, detects failure by BFD, able to implement fast switching backup router into master router, and overcoming the defect of long converging time of the current VRRP.

The invention provides a random time delay modeling method based on a continuous time hidden Markov model for a network control system. A network control system is established according to the Figure 1, wherein a controlled object is a 4-degree-of-freedom mechanical arm, and kinematics parameters of the 4-degree-of-freedom mechanical arm are sampled and then transmitted to a controller via the network; the controller firstly establishes a continuous hidden Markov model of network time delay, then, designs an appropriate control law according to the sampled data and transmits the control law to an executor so as to compensate the influence of time delay on system performance. An incomplete data expectation maximization algorithm is used for model parameter training, and simultaneously, a genetic algorithm and a simulated annealing algorithm are both used for ensuring that the training process can quickly converge to a global extremum. Finally, the established network time delay continuous hidden Markov model is verified and optimized on a simulation experiment platform. By the adoption of the method, the time delay generation mechanization that the network time delay is controlled by the network state can be accurately described, and the maximum degree of approximation of the time delay model to the actual network environment can be guaranteed.

To more efficiently compensate for modulation imbalance, a mobile device modulates and demodulates a calibration tone and generates digital data representing modulation imbalance effects on the calibration tone. Using digital data enables modulation imbalance effects to be quickly estimated using digital signal processing techniques, increasing the number of estimates of modulation imbalance effects calculated. The modulation imbalance estimates are used to refine one or more compensation parameters which are applied to transmitted and/or received signals to compensate for errors caused by modulation.

A method and apparatus for determining a position and attitude of at least one camera by calculating and extracting estimated rotation and translation values from an estimated fundamental matrix based on information from at least a first and second 2D image. Variable substitution is utilized to strengthen derivatives and provide a more rapid convergence. A solution is provided for solving position and orientation from correlated point features in images using a method that solves for both rotation and translation simultaneously.

The invention relates to a nonlinear control method for a small unmanned helicopter, especially to an attitude control method for the small unmanned helicopter based on a second-order self-adaptive terminal sliding mode controller, and realizes rapid attitude error convergence and maintains relatively accurate attitude tracking control effect and relatively high system robustness under the condition that external interference of the small unmanned helicopter exists. According to the technical scheme of the invention, a second-order self-adaptive terminal sliding-mode method is applied to attitude system control of the small unmanned helicopter under the condition that the small unmanned helicopter has external interference. The method comprises the following steps that 1) an attitude dynamics model of the small unmanned helicopter is determined; 2) an attitude angle tracking error is defined, and a dynamics error model is arranged; 3) a control law is designed; and 4) self-adaptive control gain is designed. The method of the invention is mainly used for nonlinear control of the helicopter.

A cone optimization modeling method for allowing distributed stored energy to participate in running adjustment of an active power distribution network comprises the steps that (1), element parameters of the active power distribution network to be adjusted in an optimization mode are read; (2), according to the parameters provided by the step (1), a time sequence optimization model is established for allowing the distributed stored energy to participate in running adjustment of the active power distribution network, wherein an objective function with the minimum active loss is set, and the running constraint of the power distribution network and the running constraint of an energy storage system are each considered; (3), according to the standard form min {cTx/Ax=b, x<K} for second-order cone optimization, cone model conversion is performed on the time sequence optimization model in the step (2), wherein linearization is performed on the running constrain of the objective function and the running constraint of the active power distribution network, cone conversion is performed on the capacity constraint of stored energy inverters, and a non-linear rotating cone constraint is introduced. The complexity degree of an optimization model function relation is greatly lowered, and meanwhile the requirements for rapid convergence and optimal solving are met.