least squares identification 中文意思是什麼

least squares identification 解釋
最玄乘方識別
  • least : adj （little 的最高級，比較級為 less 或 lesser）1 最小的，最少的 （opp most）。2 最不重要的，地位...
  • squares : 方鋼
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  1. Bounded convergence of finite data window least squares identification for time - varying systems

    非線性系統參數估計的投影演算法
  2. The load characteristics of wastewater treatment by electrocoagulation with dc power supply was investigated. the theoretical model describing the relation between electrolysis voltage and the other variables of an electrocoagulation process was established, the model parameters being determined using least squares identification. moreover, the experiments were performed to validate the established model

    論文對直流電源作用下電凝聚法處理污水負載特性進行了詳細地分析，結合理論建模和最小二乘法參數辨識，得出了相關負載數學模型，並在不同的實驗條件下對模型進行驗證。
  3. Stochastic subspace identification method is the major in this article, and this method is based on the theory of projection of row space, and also uses qr decomposition, svd decomposition as well as least squares estimate to state space matrices of the discrete system so as to achieve the parameters of the dynamic behavior and it can achieve an accurate result

    隨機子空間法是本文的論述重點，它運用了行空間投影的理論，通過qr分解和svd分解以及最小二乘估計來識別離散后的系統狀態空間矩陣，從而得到系統的動力學特性參數，識別精度較高。本文詳細的推導了隨機子空間法的理論公式，並編寫出相應的matlab程序。
  4. Least squares identification method of generalized time - varying systems

    廣義時變系統的最小二乘辨識方法
  5. Some linear approaches reported recently without postprocessing to fir system identification are discussed. this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods, and presents a direct algorithm of estimating parameter without estimating middle coefficient. through proper mathematic means, for example, singular value decomposition ( svd ) or total - least squares solution ( tls ), this algorithm smoothes the noise and improves effectively the estimation performance

    和2階統計量相比，高階統計量不僅能夠有效抑制高斯有色噪聲的影響，而且能夠揭示隨機過程的相位特性，因此，高階統計量是解決非高斯、非最小相位、非因果系統和有色高斯噪聲環境的系統辨識和處理問題的重要分析工具。
  6. Just using the stator currents, stator voltages, and velocity, the method proposed in the paper makes real time identification of induction motor parameters based on the least squares identification algorithm. the method does n ' t use the rotor flux signal, avoiding the coupling between the rotor flux observation and the parameter identification

    本文提出僅用電機的定子電流、電壓和轉速進行電機參數的辨識方法，它利用遞推最小二乘法進行在線參數辨識，該方法不需要觀測得到的磁鏈信號，消除了磁鏈觀測和參數辨識的耦合。
  7. Using gyro measurements during periods of thruster firing, with thruster outputs, mass property identification is achieved through recursive least squares algorithms on the basis of the refined dynamics equation. the approach addresses the issue by segmenting the problem into two sub - problems which both allow closed form solution to reduce computation load

    該方法利用衛星上的陀螺輸出和推力器控制指令作為演算法的輸入，在修正的衛星姿態動力學模型基礎上，推導了衛星質量特性在線辨識遞推最小二乘演算法，將質心位置和轉動慣量矩陣的辨識解耦以降低辨識演算法的維數，減少計算量。
  8. In this paper, we consider identifications of physical parameters in the following parabolic initial - boundary value problems. the identification problem is formulated as a constrained minimization problem by using the output least squares approach with the h1 - regularization

    作為一個最優控制問題，我們視溫度分佈v為輸出，參數q （ x ）為控制，考慮了一類最優控制問題的逆問題。
  9. A new kind of optimal selection cluster algorithm ( osca ) is presented in this paper, and a new hybrid algorithm is obtained by combining osca with least squares method and gradient algorithm. the algorithm can synchronously solve the identification problems of the new fuzzy neural network model ' s structure and parameters

    提出一種新型優選聚類演算法，並將該演算法與最小二乘法和梯度下降法相結合，形成一種新的混合學習演算法。該演算法能同時解決上述新型模糊神經網路模型結構和參數的辨識問題，進一步提高了模型的辨識精度。
  10. Based on the classical least squares method ( rls ) in system identification, the several new identification algorithms of parameter estimation for the autoregressive moving average ( arma ) model, are presented. they include univariable and multivariable two - stage recursive least squares - recursive extended least squares ( rls - rels ) and two - stage recursive least squares - pseudo - inverse ( rls - pi ) algorithms

    本文在系統辨識經典的最小二乘法（ rls ）的基礎上，提出了自回歸滑動平均（ arma ）模型參數估計的一些新的辨識演算法，它包括單變量和多變量兩段遞推最小二乘?遞推增廣最小二乘（ rls ? rels ）演算法和兩段遞推最小二乘?偽逆（ rls ? pi ）演算法等。
  11. Parameter identification of time - varying systems based on the least - squares modified algorithm

    基於最小二乘改進演算法的時變系統參數辨識
  12. The paper carries on the research of network topology, algorithm of state estimation and detection and identification of bad data, and applies the method of tracking search to network topology, semi - dynamic optimization to node numbering, algorithm of weighted least - squares with constraints to state estimation and rn to detection and identification of bad data. the calculation is made for jinzhong ' s electrical network according to its circumstances in shanxi

    本文對電力系統狀態估計理論中網路拓撲分析、狀態估計演算法、不良數據的檢測與辨識進行了研究，採用獨立於結線方式的跟蹤搜索法進行網路拓撲分析、半動態優化技術進行節點優化，帶約束加權最小二乘法進行狀態估計計算，標準化殘差進行不良數據的檢測與辨識。
  13. Identification of the criterion polynomial for prism spectrograph by improved method of least squares

    最小二乘法的改進演算法辨識棱鏡攝譜儀定標多項式
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