unknown parameter 中文意思是什麼

unknown parameter 解釋
未知參量
  • unknown : adj 1 未知的，未詳的；未被發覺的。2 數不清的，無數的。n 未[不]認識的人[物]；【數學】未知數[量，元...
  • parameter : n. 1. 【數學】參數，變數；參詞；參項。2. 【物理學】參量；（結晶體的）標軸。3. 〈廢語〉【天文學】通徑。vt. -ize 使參數化。
  1. According to the geometry of slope measurements for the subjective wavefront optometer, a wavefont reconstruction model using zernike polynomial with normalization factor is put forward. based on householder transformation and gram - schmidt orthogonalization method, two methods for working out unknown zernike coefficients are bring forward. the error propagation parameter for the wavefront reconstruction model is deduced

    深入研究了帶標準化因子的zernike多項式的性質;針對主觀式像差儀波前斜率采樣方案，提出了採用帶標準化因子的zernike多項式對眼測試波前進行重建的數學模型;提出了兩種求解方法，即基於householder變換求解法和基於gram - schmidt正交化求解法，用於確定重建模型中的未知模式系數;推導出了該波前重建模型對斜率測量誤差的傳遞系數。
  2. 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。
  3. Unlike the normal two stages estimate method ( the usual nonparametric weighted method combined with the least square estimate ), considering the characteristics of this model, this paper uses the least square estimate combining with the usual nonparametric weighted method and defines the estimators and n2 for the unknown parameter, the unkown fuction g ( ) and the unknown variance of errors 2

    與通常採用的兩階段估計方法即非參數權函數法結合最小二乘法不同，考慮到此模型本身的特性，本文採用最小二乘法結合一般非參數權函數估計方法，定義了未知待估參數和未知函數g （ ? ）及誤差方差~ 2的估計量（ ? ） _ n ， （ ? ） _ n （ ? ）和（
  4. The conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions

    常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振
  5. Abstract : the conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions

    文摘:常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振
  6. Admissibility of generalized least square estimator on the unknown parameter matrix in the extensive growth curve

    推廣的生長曲線模型中未知參數矩陣的廣義最小二乘估計的可容許性
  7. The confidence interval ( c. i. ) of unknown parameter represents the range of the value and the reliability about estimation of parameter

    未知參數的置信區間表示該參數的取值范圍及其可信程度，置信區間的長度表示區間估計的精度。
  8. A. p. verbyla and w. n. venables ( 1988 ) extended the ordinary growth curve model into the extension of growth curve model and obtained an estimate of the unknown parameter matrix under the conditions that the matrix of observations follow multivariate normal distribution, where every design matrix has full column rank [ 7 ]

    A . p . verbyla和w . n . venables （ 1988 ）將gc模型進行了推廣，得到了推廣增長曲線模型（ theextensionofgrowthcurvemodel簡稱egc模型） ，並在觀察矩陣服從正態分佈，各設計矩陣均為列滿秩的條件下，給出了參數矩陣估計值的一種演算法。
  9. Firstly, the inversion of the ground motion with the unknown parameters and limited measurements was studied by the sub - structural identification, and the least - square algorithm of unknown input was built. secondly, based on the estimated input, structural parameter down to the element level was identified in time domain by extended kalman filter algorithm. several cases of a 6 - story frame s

    首先，使用子結構識別技術，研究了未知參數、觀測不完整條件下的地震動輸入反演問題，建立了未知輸入的最小二乘估計演算法；其次，在估計地震動輸入的基礎上，使用廣義kalman濾波器方法，識別全部單元結構參數。
  10. This thesis mainly considers ordinary linear regression model and generalized one, that is, models and are involved. in term of the unknown parameter, it is necessary to study its estimation

    論文主要針對一般線性回歸模型和廣義線性回歸模型，即： ，和，其中，為向量，為設計矩陣，且，為向量，為向量，是已知的正定陣。
  11. In order to do this, a chaotic system is designed, in which, one of the unknown parameters is the measured value or parameter being estimated. between the parameter and the symbolic series corresponding to chaotic orbits of the system output, there should be a homologous relationship

    基本思想是設法構造一個混沌系統，將被測量或待估的參數作為系統中的某一未知參數，並在該參數與系統輸出的混沌軌道對應的符號序列之間建立起一一對應關系，用符號空間的距離測度來表示參數的變化。
  12. Synthesizing the two identification methods of weighted least square and resricted memory, the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given

    摘要將加權最小二乘法和限定記憶兩種參數估計方法相綜合，給出了多變量系統帶控制輸入的自回歸模型未知參數的遞推估計演算法。
  13. It is adapt to the industry process which parameter is uncertain or unknown

    十分適用於參數未知、時變的工業控制工程。
  14. The second is to assure a multiple - parameter matrix characteristic equation has no nonzero pure imaginary roots. the key of this part is to verify that the structured singular value of a one - unknown matrix function is not equal to one. this work can be accomplished by a frequency sweeping test method

    前者的核心是判定某常矩陣的結構奇異值不等於1 ，這只需計算常矩陣的結構奇異值；後者的核心是判定某個以頻率為變元的矩陣的結構奇異值不等於1 ，這一問題由頻率掃描測試法解決。
  15. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  16. The algorithm can be finished with automating in most case and suits for any scale image with unknown any parameter of camera. mosaic image is smooth and has no gap. 2

    分析表明，本演算法適宜於任何大小的圖象並且不需要知道相機的任何參數（如焦距） ，對相鄰幀圖象之間相機的運動沒有嚴格的限制。
  17. So many statistics scholars have studied it extensively and obtained many ideal results. semiparametric regression model yi ~ ( n ) = xi ~ ( n ) + g ( t ~ n _ i ) + _ i ~ ( n ), 1 i n, where g is an unknown function on a compact set a in r ~ p and is an unknown parameter, ( x _ 1 ~ ( n ), x _ 1 ~ ( n ) ) ~ t, ? ? x _ n ~ ( n ), t _ n ~ ( n ) ) ~ t are fixed design vectors and the radom er - rors _ i ~ ( n ) are assumed to be an l ~ q - mixingale sequences. fan [ 1 ] investigated nonparametric regression model

    由於半參數回歸模型的優點是集中了主要部分（即參數分量部分）的信息，因而它比傳統的線性模型或非參數回歸模型有更強的解釋能力，不少統計學者對其進行了深入的研究，同其它回歸模型一樣，它的大樣本性質始終是人們關注的熱點。
  18. A humanoid - like response service robot system is highly non - linear and its parameter varies with time. its assignment is complex and its environment is unknown

    具有類人反應的服務機器人系統，具有高度的非線性和參數的時變性，及任務的復雜性，且環境未知。
  19. ( 2 ) using the method of parameter identification in literature [ 117 - 118 ], selecting gain function : giving the initial value of the parameter observer from the time serial of output variables of the system, the numerical simulation result shows that the parameter observer proposed in this paper can identify the unknown parameters of the system quickly and exactly no matter if the parameters keep invariable or change in some rule, and the identifying speed is faster than the method in [ 117 - 118 ], when the unknown parameters are being identified, vith parameter compensator, it can synchronizes two hyperchaotic systems completely even if some parameters mismatch

    （ 2 ）採用文獻[ 117 - 118 ]提出的參數辨識方法，通過選取更一般的增益函數： l _ i （ x _ i ） = kx _ ii = 1 ， 2 ， 3並根據系統輸出變量的時間序列給出參數觀測器的初始值來進行參數辨識，數值模擬結果表明：採用本文的參數觀測器，在系統參數固定或變化的情況下，都可對系統未知參數實現快速高精度辨識，辨識的速度快于文獻[ 117 - 118 ]提出的方法；在辨識參數的同時，結合參數補償器，使兩個參數不匹配的超混沌系統同步。
  20. This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter

    本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測
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