minimum variance 中文意思是什麼
minimum variance
解釋
最小方差-
And then, some common methods of gdm, such as the ahp method, the weighted geometric mean method ( wgmm ), the borda - kendall method, the minimum variance ( mv ) method, the clustering analytic method, the cook - seiford distance measure, cb measure, the maximum and the minimum expected values, the concordance and discordance indices, etc., are used to discuss some consensus problems of gdm, including the consistency of the complex judgment matrix in ahp, the consensus methods of the aggregation of individual preferences ; the aggregation of analytic hierarchy process methods based on similarities in decision makers " preferences, a consensus measure on multiple criteria group decision making
接著本文採用了群體決策中常用的一些方法（如： ahp法，加權幾何平均法， borda - kendall方法，最小方差法，聚類分析法， cook - seiford距離測度法， c _ b測度法，最大最小期望值法，一致性非一致性指標法等）對群體決策中的幾個一致性問題進行了研究，這些問題包括： ahp中復合判斷矩陣的一致性，個體偏好序集結的一致化方法，基於決策者偏好相似性的層次分析模型的集結中的一致性問題和多準則群體決策的一致性測度。 -
The multi - aptitude body uncertain composed methods are used to deal with the historical data and forecast ways in which the minimum variance hedge ratio is calculated synthetically ， in order to foster calculational reliability of the minimum variance hedge ratio in hedging of stock index futures the mathematical hedging model which is consists of
本文利用多智能體系統不確定性結論合成方法（ mabm ） ，將股票指數期貨套期保值最小風險保值比率計算的歷史數據分析法和預測法進行了綜合處理，進而提高股指期貨最小風險保值比率的可靠性。基於資本資產的定價模型建立由 -
Under a certain conditions on variance matrix invertibility, we show that the optimally weighted ls estimate outperforms the linear minimum variance estimate provided that they have the same priori information
因此，我們討論了在相同已知信息的情況下，即最優加權最小二乘估計也利用有關被估參數的先驗信息時，二者的估計性能。 -
For a general linear model ( input matrix is deterministic ), under a certain conditions on variance matrix invertibility, the two estimates can be identical provided that they have the same priori information on the parameter under estimation. even if the above information is unknown only for the optimally weighted ls estimate, the sufficient condition and necessary condition, under which the two estimates are identical, is derived. more significantly, we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information
在一般線性模型（即輸入矩陣為確定性）下，當兩種估計都利用有關被估參數的先驗信息時，二者在方差陣可逆的一定條件下可達到一致；當最優加權最小二乘估計不利用此先驗信息時，存在二者一致的充分條件和必要條件，進而找到一種設計輸入矩陣的方法，使得在先驗信息缺乏的條件下，仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。 -
Design of identification experiment signal for minimum variance control
基於最小方差控制的閉環辨識信號設計 -
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed
摘要基於線性無偏最小方差估計理論，提出了一種任意相關雜訊線性系統非同步狀態向量融合演算法。 -
Then we give the necessary and sufficient condition under which the optimally weighted ls estimate is identical to thu conditional mean of the parameter given input and observation, i. e., the optimally weighted ls estimate could be optimal nonlinear estimate in the minimum variance sense
在方差陣可逆的條件下，我們發現最優加權最小二乘估計優于線性最小方差估計，進而得到了其與最小方差估計（即條件均值估計）等價的充要條件。 -
Some robust stability conditions are derived. ( 4 ) a class of dual - rate input - output predictive model containing time delays is established. a new dual - rate predictive control algorithm for the time - delay system is presented, which makes up the shortcoming of multi - rate weighted minimum - variance control for time - delays system, and has solved the influence of time delays on the multi - rate system
針對輸入更新速率比輸出采樣速率慢的雙速率采樣系統，建立了帶有時滯的輸入輸出預測模型，給出了時滯雙速率采樣預測控制演算法，彌補了已有文獻中時滯多速率采樣加權最小方差控制的不足，解決了時滯對多速率采樣系統帶來的影響 -
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 -
This method is easy to implement and has no restriction on array geometry and sensor patterns ; three methods for the design of broadband frequency invariant beamformer are proposed, which are the method of resampling signals received by the array, the dft ( discrete fourier transform ) interpolation method and adaptive synthesis method, respectively. examples and performance analyses are given for each method ; a simplified linear constrained minimum variance broadband adaptive algorithm that based on dft interpolation method is presented. compared with conventional broadband adaptive algorithms, the presented method can reduce computation work greatly
提出了一種簡單、易於實現的恆定束寬波束形成器設計方法，該方法對陣形和陣元指向性沒有任何限制；分別提出了基於陣列接收數據重采樣、基於dft插值和自適應綜合的三種具有頻率不變波束圖的寬帶波束形成器設計方法，對于每一種設計方法都給出了一個設計實例並做了性能分析；提出一種基於dft插值的簡化線性約束最小方差寬帶自適應陣列演算法，該方法可以大大降低自適應陣列的運算量。 -
A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases
建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。 -
To reappear stochastic waveform on esvrst in time field, the minimum variance implicit self - tuning regulators of siso and mimo systems are deduced based on carma models in this paper. the robustness of the regulator being used to control esvrst is validated good
本文推導了在時域內對電液伺服道路模擬試驗臺進行隨機波形再現控制時，基於carma模型的，單輸入單輸出系統和多輸入多輸出系統的，隱式最小方差自校正調節器。 -
Only routine closed - loop operating data and knowledge of the process time delay are needed using minimum variance as a benchmark in controller performance assessment
用最小方差準則來評價控制器的性能，僅需過程變量的常規閉環操作數據和過程的時間延遲特性。 -
Controller performance assessment algorithms based on minimum variance for single loop control system, multivariate control system and cascade control system are derived in the paper
本文利用最小方差準則，給出了單變量、多變量及串級控制迴路的性能評價方法，並對工業中兩個精餾塔控制系統的性能進行了分析。 -
The main results of the paper are the systemic performance assessment and diagnosis methods for single pid and cascade pid control system, in which the set point tracking and regulation performance are evaluated using minimum variance as a benchmark
本文重點是針對pid控制器的特徵，對單迴路pid控制系統和串級pid控制系統給出了系統的性能評價方法和診斷方法。利用最小方差準則得到二者的設定點跟蹤性能和調節性能。 -
In this case optimally weighted ls estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate
在這種情況下，最優加權最小二乘估計變成關于觀測和輸入的非線性估計，且與線性最小方差估計不可比。 -
Thus finally we can realize the minimum variance control. simulations show that preferable parameter estimation and satisfactory control performance can be achieved using the derived dual adaptive control
利用卡爾曼濾波對未知的系統參數進行估計，最終實現隨機系統的對偶自適應控制。 -
Uniformly minimum variance unbiased estimate
方差一致最小無偏估計 -
Minimum variance control based on nonlinear t - s fuzzy model
模糊模型的隨機最小方差控制 -
Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model
一類多元線性模型的一致最小方差無偏估計的推廣
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