遞歸控制演算法 的英文怎麼說

中文拼音 [dìguīkòngzhìyǎnsuànfǎ]
遞歸控制演算法 英文
recursive control algorithm
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 控 : 動詞1 （告發;控告） accuse; charge 2 （控制） control; dominate 3 （使容器口兒朝下 讓裏面的液體慢...
  • 制 : Ⅰ動詞1 （製造） make; manufacture 2 （擬訂; 規定） draw up; establish 3 （用強力約束; 限定; 管束...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
  1. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  2. The thesis summarizes the basic theories of price discrimination, expatiated on the multi - class differential pricing method and dynamic differential pricing theory ; concludes the factors that have impacts on tickets - price, analyses and classfies the factors ; brings forward a canonical method of market segmentation, introduces the process of market segmentation based on the model of gray relative level, discusses the idiographic measure of ticket - price control ; improves the academic achievements of former scholars, puts forward a model of multi - class dynamic differential pricing for the air passenger transport, which is based on the maximum revenue for the airline industry, and gives a approximate arithmetic of the model, then showes the application of the model and its feasibility on increasing airline industry ’ s revenue by 25 models

    在對民航定價的國內外研究現狀進行綜述的基礎上，從經濟學角度介紹差別定價的基本理論，闡述民航客運的多等級差別定價理論和動態差別定價理論;對民航票價的影響因素進行分類說明;作為多等級定價的基礎，提出市場細分的標準和方法，用灰色關聯度模型解決航空旅客市場細分問題，並提出票價控制的具體措施;引入一種旅客到達頻率預測的統計方法，以航空公司收益最大化為目標，建立基於多等級定價基礎上的動態差別定價模型，即多等級動態差別定價模型，給出模型的遞歸演算法，通過對動態差別定價模型的運行結果進行分析，建立模型的一種近似模型，並且用25個簡單算例說明模型的用法以及在提高航空公司收益方面的可行性。
  3. 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。
  4. The thesis, in the probability analysis and computation, considers the failure history of space frames and trusses, adopts the bound criterion and algorithms on the base of system ' s critical strength, and introduces the soft self - adaptation control bound into the identification of dominant failure modes ; at the same time, with the incremental load method and differential equalized recursive method, computes the limit - state function of failure mode and probability index precisely under no leaking the dominant failure modes

    文中在可靠性分析和計算部分，考慮空間剛桁架結構系統的失效演化歷程，採用基於系統臨界強度的約界準則和約界演算法，將柔性自適應控制邊界引入失效模式識別過程；同時，用荷載增量法和微分等價遞歸演算法相結合，確保在嚴格不遺漏主要失效模式的情況下，快速準確地求解失效模式的極限狀態方程和可靠度指標。
  5. The paper makes simulation studies into the field oriented control systems based on multiplayer feedforward networks and dynamic recursive networks respectively, and compares the convergence speed and approximate extent between the two learning algorithms

    對採用多層前向網路和動態遞歸網路的矢量控制系統分別進行了模擬實驗，比較了兩種學習演算法收斂的快速性和逼近程度。
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