31 results about "Recursive model" patented technology

The invention provides a method for identifying angle of attack and sideslip angle based on Kalman filter, comprising: establishing a recursive model and an observation model of angle of attack α and angle of sideslip β; obtaining a step of angle of attack α and angle of sideslip β Predicted value Xpre; get one-step predicted mean square error Ppre; get measurement matrix H and measurement quantity Z; get filter gain K; get Kalman filtering angle of attack α(k+1) and Kalman filtering side slip angle β( k+1); get the updated error variance matrix P'; get the updated one-step predicted value Xpre' of the attack angle α and sideslip angle β, and return to S4 based on the updated error variance matrix P' and the updated one-step The predicted value Xpre' is used for the next iteration. The present invention establishes the recursive model and the observation model of the angle of attack α and the sideslip angle β, and performs Kalman filtering based on the recursive model and the observation model of the angle of attack α and the sideslip angle β, so that the angle of attack α and the sideslip angle can be realized. High-precision online identification of angle β. The present invention is used under the condition of no measuring device for the angle of attack and the sideslip angle, saves a set of sensing collection equipment, and can realize synchronous measurement of the angle of attack and the sideslip angle.

The present invention provides an online recursive calculation method for fume occurrence rate of a metallurgical furnace. The method comprises: according to independent historical data in an uncertain interval period, constructing a nonlinear regression constraint model; performing nonlinear transformation and normalization processing on sample data; and calculating a coefficient matrix of a recursive model with a least square partial differential method. According to the method, the data is stored by using a fixed-length time sequence queue to facilitate updating of the historical data, and the regression coefficient matrix of the recursive model is calculated with the least square partial differential method, so that online prediction of the fume occurrence rate is implemented and data support is provided for online control and production decision of the metallurgical furnace.

The invention discloses a time dynamic push-down network conversion method, which is used to describe real-time concurrent recursive modeling including recursion and dynamic thread creation. Firstly, a global clock that describes continuous time and a real-number clock that can describe the "age" of time-related global variables and stack characters are introduced in DPN, so that asynchronous communication based on shared memory and real-time concurrent system with dynamic thread creation can be implemented. for modeling. Secondly, for the clock equivalence technology based on integer division, an optimization technology based on clock key points is given to reduce the clock interval, thereby reducing the converted state space. Since the time dynamic pushdown network is an abstract model of a real-time concurrent recursive program, the clock equivalent optimization technology based on key points converts the model into a dynamic pushdown network, so that by confirming whether the execution of the dynamic pushdown network model will run to Error status to detect bugs or vulnerabilities in the concurrent recursive program corresponding to this model.

A functional testing method of electronic products is described, which includes writing a document defining a functional specification of a product by means of a structured document according to a recursive model of a functional specification, so that this is comprehensible by human and non-human interpreters, thus automating the setting up of a functional testing apparatus of electronic products. Said functional testing apparatus, being adapted to interpret said document, is general- purpose and comprises interface means with corresponding drivers, replaceable in relation to the type of product subject to functional test.

The invention discloses a reliability evaluation method for multi-level state monitoring data fusion, which specifically includes: according to the system and unit degradation law, determining the state of the system and the unit during the degradation process, and specifying the unit state combination corresponding to each state of the system; collecting system and the state monitoring data or information of the unit during service; update the current state probability of the unit in the system according to the multi-level state monitoring data or information; dynamically estimate the reliability of the multi-state system in the remaining service period. The method of the present invention combines the state monitoring data or information of the system level and the unit level in the multi-state system, and combines the logical combination relationship of the system and the unit state degradation law, and determines the current state of each unit in the multi-state system by constructing a Bayesian recursive model. state probability, so as to predict the future state and reliability of the system; at the same time, the method of the present invention considers the error of state monitoring data or information, making the method more general.

The invention discloses a speech recognition method based on the power spectrum Gabor feature sequence recursive model. The basic steps of the method include: 1. Preprocessing the speech input signal; 2. Extracting the power spectrum features and dynamic spectrum Delta features respectively; 3. .Use the spatiotemporal Gabor filter to filter the spectral features, and obtain the speech feature sequence through PCA dimensionality reduction processing; 4. Construct a recursive graph based on the speech feature sequence; 5. Complete speech recognition by performing distance detection on the speech recursive model. The present invention preprocesses the speech signal, obtains the speech feature sequence through feature extraction, and then converts the speech feature sequence into a recursive model for similarity detection, which effectively solves the problem of unstable noise and low signal noise in the current automatic speech recognition system. This improves the robustness of the speech recognition algorithm because the recognition rate is not ideal and the performance is prone to deterioration in complex situations.

The present invention provides a high code rate inter-satellite link switching method and system for flying formations, comprising: Step 1: Establishing an orbital dynamics recursive model according to the satellite ephemeris of formation members; Step 2: According to the orbital dynamics Based on the orbital recursion state and load requirements in the recursive model, the formation member satellite attitude information estimation is completed; Step 3: According to the satellite attitude information estimation, calculate and judge the mutual visibility of each link antenna between the two satellites to be established in the formation; Step 4: According to the mutual visibility judgment results of the antennas of the links between the two satellites to be established in the formation, comprehensively distribute the inter-satellite link switching logic of the formation. The invention solves the problem of determining the multi-link antenna switching logic caused by the narrow beam field of view of the high code rate link, and has more general engineering practicability.

An Agent-based solar sail distributed simulation system comprises an orbit recursive model unit, an earth shadow model unit, a thermal control system model unit, a power supply system model unit, an attitude control model unit and an orbit control model unit, each model unit is an independent Agent module, and interconnection and data interaction between the Agent modules are achieved through the TCP / IP protocol. According to the system, microscopic behaviors of each component system, namely on-orbit status of each subsystem of a solar sail, can be described, the Agent modules can also be combined to describe macroscopic characteristics of the solar sail, so that each component unit and the integral body of the solar sail can be fully simulated conveniently, and the problems in the design stage of the solar sail can be found timely. In addition, distributed design is adopted by the system, complexity can be reduced, and simulation efficiency of the system can be largely improved.