process state vector 中文意思是什麼
process state vector
解釋
進程狀態向量-
An on - line minimum - variance estimator was developed for thrust acceleration applied to orbit transfer using discrete - time radar measurements. the mass - flow - rate of propellant was selected as a state variant, which was estimated by employing an integral state model and ekf filter. the variation equations for measurement vector to mass - flow - rate have been established to linearize the discrete - time measurement equations. the algorithm has applied successfully to maneuver process in commanding satellite into geo - stationary orbit. the results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process
飛行器軌道機動過程中，為跟蹤、定位機動目標和干預機動控制過程，需要統計處理離散的雷達觀測量實時估計推進發動機的推力，進而確定飛行器的瞬時軌道參數.本文所述演算法是該工程問題的探討和解決方案.文章建立了軌道機動過程中連續變質量運動模型和離散雷達量測模型，推進發動機的質量秒耗量作為表徵推力加速度的一個近似常量，應用擴展卡爾曼濾波對離散的雷達測量數據進行順序統計處理給出秒耗量的最小方差估計;文章詳細地推導了線性化量測模型的變分方程和觀測矩陣;模擬結果表明該演算法能快速、準確地估計推進發動機的質量秒耗量和向機動目標施加的實際推力 -
3 ) in order to manage and trace materials in mes, the concept, theorems and properties about a special set named s ( i ) are put forward. based on the properties and theorems of s ( i ), a new method is presented to describe the material process state. it is a concise way using the material process state vector and material process state value to deal with the materials which provides a powerful mathematic tool for material management in mes
3 ）面對製造執行系統中的物料工藝狀態描述的困惑，建立了集合s （ i ）的定義以及集合s （ i ）的相關定理和性質，並在集合s （ i ）理論的基礎上，研究了如何描述物料工藝狀態信息，從而為製造執行系統中物料管理和物料跟蹤提供科學的方法。 -
By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise
通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。 -
The class of systems is a hybrid class of systems with two components in the vector state. the first component refers to the mode and the second one to the state. the mode is described by a continuous markov process with finite state space
這類系統是一類混合系統，由兩部分構成，第一部分是系統的模式，第二部分是系統的狀態，模式可以用連續時間離散狀態的markov過程來描述，在每一個模式中，狀態可由一個隨機微分方程表示。 -
The simple affine transformation is used to describe the motion of feature points, and an pdaf is employed to obtain the estimate of the state vector ; a matching method based on gabor wavelet transformation is employed to find the corresponding point ; an ekf is employed to process the temporal information ; a scheme is designed to include new feature points
點的軌跡模型採用仿射變換描述，引入pdaf演算法進行狀態估計；利用基於gabor變換特徵向量的匹配演算法進行對應點的辨識；推導出ekf濾波器方程組，對時態信息進行濾波；具有新特徵點的選取、跟蹤能力。 -
Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented
基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。 -
Through the process, a deal of information of rotor vibration is picked up, accordingly the vibration of rotor can be characterized in ml therefore, the vector spectrum can radically change the discontented state and make the monitoring and diagnosis accirate much more
矢譜技術以多傳感器信息融合為基礎，致力於轉子空間振動的全方位描述。因此，矢譜技術從根本上改變了單通道信號分析割裂信號內在聯系的弊端，使監測和診斷更加完善準確。
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