閉環網路模型 的英文怎麼說

中文拼音 [bìhuánwǎnglùmóxíng]
閉環網路模型 英文
closed network model
  • 閉 : Ⅰ動詞1. （關; 合） close; shut 2. （堵塞不通） block up; obstruct; stop up Ⅱ名詞（姓氏） a surname
  • 環 : Ⅰ名詞1 （環子） ring; hoop 2 （環節） link 3 （姓氏） a surname Ⅱ動詞（圍繞） surround; encircle;...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. Two nonlinear simulation methods are designed by curve fitting method and anfis which seem simply and right in the simulation experiment. based on the model different control strategies also were realized in detail such as chopped current control ( ccc ), angular position control ( apc ), amplitude - change ccc and pi control. a simple torque sharing function ( tsf ) method and a tsf controller were designed which decreases torque ripple effectively

    文章中還建立一種基於模糊神經網路的非線性模型，並對比分析了三種方法，模擬中確定了電機的最優開通關斷角，在此基礎上實現了電流斬波控制、角度位置控制、變幅值電流斬波控制以及分段雙閉環pi控制，模擬結果表明，它實現了電機的正常運行，很好的抑止了電機轉矩脈動，同時有效地降低了噪聲。
  2. 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。
  3. The characteristics of the extended model are as follows : the network structure is a closed loop network ; the allocation of manufactured and remanufactured products that can ' t be replaced with each other is comprehensively considered ; and the locations of potential manufacturing / remanufacturing facilities, warehouses and disassembly centers are addressed

    該模型特點是：網路結構為閉環網路；正向物流中統籌考慮再生品和新產品的物流分配，再生品和新產品不能相互替代；解決了新建裝配廠、存儲批發商及拆解中心的選址問題。
  4. This model was composed of a tracking process model based on activity network diagram and multi sub closed loop processes, a boolean matrix description model of tracking sections and associations among sections, a matrix style organization structure and a quality problem driven organization model

    該模型包含基於活動網路圖的多個閉環子過程的追蹤過程模型、追蹤過程節點及節點間聯系的布爾矩陣描述模型，以及矩陣式的管理組織結構和以質量問題為驅動的組織模型。
  5. Abstract : in this paper a new adaptive neural network controller is presented for a class of continuous - time nonlinear time delay systems subject to modeling uncertainty. the neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems. an adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions. stability of the closed - loop system is proved by the lyapunov method. the effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor

    文摘:針對模型不確定性的連續時間時滯系統，提出了一種新的神經網路自適應控制.系統的辨識模型是由神經網路和系統的已知信息組合構成，在此基礎上，建立時滯系統的預測模型.基於神經網路預測模型的自適應控制器能夠實現期望軌線的跟蹤，理論上證明了閉環系統的穩定性.連續攪拌釜式反應器模擬結果表明了該控制方案的有效性
  6. It becomes more difficult to manage, integrate and share the control system real - time data when we set up the industrial real - time database because of complicated affair between every department and isomeric character of the system. a three - level - structure model and the method to establish database is provided based on corba criterion with its character of being regardless of programming languages, hardware platform and network protocol. a universal real - time database faces multi - system is also set up by learning the distributed criterion, it can realize the request broker, and the application software can visit the database pellucidly ; thus the power station simulation model can be linked with the control system such as infi90, ovation and be made use of the control object, a closed simulation and control experiment system is set up

    在創建工控領域實時數據庫時，企業各部門間的復雜事務及內部異構性給實時數據的管理、集成和共享帶來了一定的困難，根據corba規范具有語言無關性、平臺無關性和網路協議無關性的特點提出基於分散式計算規范corba的三層體系結構模型及建立與維護實時數據庫的方法和途徑；通過corba規范建立面向多個分散控制系統的通用實時數據庫，實現數據訪問代理，使應用軟體可以透明地對實時數據庫進行訪問、存取、管理；將infi90 、 ovation分散控制系統與火電廠模擬機模型進行有效的互連，以全物理過程模擬數學模型為對象，構建了閉環控制模擬實驗研究系統，實現數據的高效連通及管理；進而通過基於corba的實時數據庫構建一個從火電廠模擬機對象到過程式控制制設備再到sis系統的綜合自動化試驗平臺。
  7. It adopted a bp neural network with a lag factor to identify the counter static model of process and decided parameters of feed - forward control through a model image, adopted a feedback controller that can adjust fuzzy logic according to the changes of object ' s parameters to improve dynamic control effect and adopted a control strategy simulating human intelligence to harmony works of system by switching among each control combination

    它採用加滯后因子的bp神經網路辨識對象的靜態逆模型，並通過模型映射直接決定前饋控制的參數；用可隨對象參數變化調整模糊邏輯的閉環控制器配合前饋控制器以改善動態控制效果；用仿人智能控制策略協調系統的操作，在各種組合控制方式之間進行切換。
  8. The validity of the small - signal model and the controlled strategy proposed in [ 8 ] are verified by the simulation and experiment results. the results show that the modeling and design of the closed - loops are valid and the flying capacitor voltages control is independent with the output voltage control

    模擬和實驗結果表明，本文所建立的小信號模型是正確的，基於該模型設計的補償網路可以使變換器具有較快的動態響應，同時也表明輸出電壓閉環和飛跨電容電壓閉環是相互解耦的。
  9. This system controls the sub - area by road network in closed ring circuit achievement, searches a bunching parameter combination using the signal parameter optimization model, carries on the coordination control to the different closed ring circuits to form chooses in advance the plan, and on the judgment, the choice through system hypothesis surface controlling rate, thus determines the final signal control plan

    該系統以路網中的閉合環路作為控制子區，應用信號參數優化模型計算參數組合，對不同閉合環路進行協調控制形成預選方案，通過系統設定的面控率進行判斷、選擇，確定最終信號控制方案。
  10. ( 7 ) taking advantage of the lyapunov theorems, a simplified method is proposed in this dissertation to testify the local stabilization of the experimental control system, which can be used for reference in the stability analysis of general nn based nonlinear control systems

    7 .由於神經網路理論尚不完善，神經網路非線性控制系統的穩定性分析一直沒有明確的理論指導。本文由lyapunov穩定性定理出發，對彈性連桿機構振動主動控制系統的線性化模型進行了閉環穩定性分析，最終證
  11. This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum. for the linear systems with unknown parameters, we identify the parameters using hopfield network, then design the observers using the identified parameters, the exponential convergence of adaptive observer is also proved. for the linear time - varying systems, a new network to solve the time - varying sylvester equation is proposed, we analysis it ' s convergence and robustness, then, deign the linear time - varying observer using this network model, and we discuss the convergence of the observer and ruboustness to unknown match parameters

    同時保證了sylvester方程的解矩陣的可逆性和觀測器的增益矩陣與輸入矩陣范數的和最小；在設計線性時不變自適應觀測器時，首先利用系統的輸入、輸出數據設計一個hopfield網路參數估計器，進一步設計狀態觀測器，證明了參數估計器和狀態觀測器的指數收斂性；為了仍然從神經優化計算的角度設計線性時變系統的狀態觀測器，最後介紹了一種求解時變sylvester矩陣方程的神經網路模型，分析了它的收斂性和魯棒性，然後利用該網路設計時變狀態觀測器，進一步討論該觀測器的在系統存在未建模不確定和外部噪聲時的魯棒性；最後給出了一種基於分離性原理和hopfield網路觀測器的狀態反饋閉環系統的結構，分析了該閉環系統的特點；對于每一種設計方法都給出了相應的數值模擬例子來進一步表明所提方法的可行性和有效性。
  12. The working principle of buck - boost is first introduced, and averaging model of non - ideal buck - boost converter is established. the design details for voltage loop were given and zero - pole compensation method from classic control theory was applied to the filed of power electronics. thus, small - signal model of closed - loop was established, with detailed design guidelines for correction network

    本文介紹了buck - boost電路的工作原理，建立了非理想buck - boost平均法的模型，對整個電路進行了單電壓閉環參數設計的研究，實現了控制理論中零極點補償法在電力電子中的應用，建立了閉環小信號模型，總結了設計校正網路的步驟和具體方法。
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