convergence control 中文意思是什麼

convergence control 解釋
會聚調節
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  • control : n 1 支配，管理，管制，統制，控制；監督。2 抑制（力）；壓制，節制，拘束；【農業】防治。3 檢查；核...
  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. Reactive optimal control of distribution system is based on power flow calculation. alternate iterating algorithm is proposed in this paper according to characters of reactive optimal control. the algorithm has advantages of fast computation speed, a few iterating times, high accuracy convergence and easy programming. it is an effect method applied to reactive optimal control

    其次，針對配電網無功優化控制對配電網潮流計算的要求，採用交替迭代演算法進行配電網的潮流計算，該演算法編程簡單、收斂性好、計算速度快，適合於配電網無功優化控制的調用。
  3. By applying the theory and method of geological anomaly, it is focused on the analysis of the characters of major geological anomalies and their effect of mineralization in daye - jiurui region. the analysis result shows that the basement fault anomalies control a few major large hidden batholiths and their associated orefields ; that the anomalies of cover structure confine most cu - au deposits and fe - cu deposits within their scope ; that the geochemical anomalies and lithofacies - paleogeographical anomalies are major geological factors leading to trataboundness of some cu - au deposits ; that the anomalies of rock operties provide the favorable chemical and physical conditions for the ore - forming process, including the seepage, circulation, convergence and deposit of ore - bearing hydrothermal solution ; that the anomalous ctive stage of mesozoic magmatite is almost consistent with the major mineralization epoch of the fe, cu deposits, and the structure of multi - levels, and the zoning in magmatic system determine the spatial distribution of the mineralization system. then, based on the above analysis, a comprehensive variate, geological combination entropy, is brought forward for reflecting the complex degree of the combination of geological ore - controlling factors. after circumscribing the anomalies of geological combination entropy, the relations between the anomalies and ore deposits are determined

    從地質異常的角度，重點分析了大冶九瑞地區主要地質異常的特徵及其對成礦的影響.由分析可知：基底斷裂異常控制了本區若干重要規模較大的隱伏巖基及伴生礦田，而蓋層構造異常控制銅金礦床和鐵銅礦床的空間位置；地層的地球化學異常和巖相古地理異常是造成一些銅金礦床層控性的主要地質因素；蓋層的巖性異常為含礦熱液的滲流、循環、聚集和礦質沉澱等一系列成礦作用提供了有利的物理和化學條件；中生代巖漿巖的異常活動期也是本區主要的鐵銅成礦期，巖漿巖系統的多層分枝和分帶性結構控制了本區成礦系統的三維空間分佈.在上述分析的基礎上，構置了地質組合熵作為反映控礦地質因素組合系統結構復雜程度的綜合變量，並圈定出組合熵異常，由此確定了綜合地質異常與礦床的關系
  4. Many geological and hydrological factors of the river section, where the yellow river water intake engineering is laid out, such as the capacity of the reservoirs along the river section upstream and downstream, the rate of the flow discharge, the erosion and silt of the watercourse, the form of the riverbed and the water current, ice tuck, the convergence of the upstream branches of the river section, flood crest, sand crest size, the capacity for flood discharge of the watercourse, the effect of flood control structure around and the impacts on surrounding environment and the third person " s legitimate rights and interests, should be considered

    黃河取水工程的布設要考慮工程所處河段的地質水文等諸多因素。如該河段上下游水庫的庫容，泄水流量、河道沖刷、淤積、河床形態、水流形態、冰塞、河段上游的支流匯入、洪峰、沙峰的大小、河道行洪能力的大小、周圍防洪工程的影響及對周圍環境和第三人合法權益的影響等等。
  5. A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under - relaxation factor

    摘要在原來研究工作的基礎上，提出了一種改進的模糊控制方法，用以調整粘性流場迭代計算中亞松馳因子的值。
  6. The new algorithm starts from an initial estimate which is based on the hough transform, and a rectangular window is centered using the current line approximation, and a new line estimation is generated by making a total least squares fit through the pixels contained within the window. this is repeated until convergence is reached. lastly, we have suggested a new technique which may recover the motion and structure parameters of a moving object by using of 21 optical flow lines based on the optical flow fields of the feature line this thesis is the project supported by aeronautical foundation science ( no. 99f53065 ) and research center of measuring and testing technologies, and control engineering in nanchang institute of aeronautical technology ( no. 2001 - 15 )

    演算法的思路是：首先，在小區域內運用霍夫變換確定直線的初始值；其次，以直線的初始值所對應的直線為中心線，建立一個矩形框；最後，利用矩形框內所包含的邊緣點數據不斷地迭代直至收斂，從而達到進一步修正直線的坐標參數；本文基於特徵直線的光流場，即線流場，建立了一種利用21條光流線確定空間三維物體旋轉運動參數、平移運動參數以及對應的空間直線坐標的線性演算法。
  7. Based on x - filtered lms algorithm and - filtered lms algorithm adaptive inverse control, we use a new variable step size lms algorithm. adding little computation, variable step size lms algorithm can result in fast convergence speed and low residual error simultaneously. the adaptive feedback control can counteract the beginning error of the system

    在原來的x -濾波lms演算法自適應逆控制和-濾波lms演算法自適應逆控制方法的基礎上，引入了新的變步長lms演算法，在計算量增加不多的前提下，能同時獲得較快的收斂速度和較小的穩態誤差；引入自適應的反饋補償控制克服了被控系統的直流零頻漂移，使控制系統在初開始工作階段快速收斂；還引入自適應擾動消除器，它能最大限度的消除擾動。
  8. The asymptotical convergence of the identifier is proved. a discrete variable structure control algorithm with time - varying sliding surface is developed for a class of second - order uncertain discrete systems

    針對一類二階不確定離散系統，利用離散變結構控制系統所具有的滑動模態區，提出了一種具有強魯棒性的時變滑模面離散變結構控制方法。
  9. Simulation experiments show that the strategy successfully realizes the swing - up control over both rotational and car - pole double inverted pendulums with higher convergence speed and computation accuracy

    模擬實驗證明，該策略可成功地實現圓軌和直軌兩種二級倒立擺的擺起控制，並且演算法具有較快的收斂速度和較高的計算精度。
  10. Combining, switching adaptive control and neural network, a new adaptive control algorithm which can adjust continuously is proposed. the tracking and convergence properties of the closed loop are proved

    摘要將開關自適應控制與神經元網路相結合，提出了一種新的能連續調整的自適應魯棒控制演算法，給出了其閉環系統的跟蹤收斂性證明。
  11. In this thesis, rbf neural network, which has rapid convergence property, is used to control chaos

    本文採用收斂速度很快的rbf神經網路實現混沌系統的控制。
  12. Based on continuous time system, convergence discussion and testifying were made to iterative learning control algorithm under the condition of constraints. then algorithm a and algorithm b that mentioned before are testified that they can be used under the conditions of that controller output has constraints

    本文針對這一情況作了討論，基於連續時間系統，對控制器輸出有限制的情況下的迭代學習演算法做了收斂性討論和證明，並且證明了前面提出的演算法a和演算法b可用於控制器輸出有限制情況下的機械手控制。
  13. The main contributions of this dissertation are summarized as follow : ( 1 ) an ilc approach combining feedforward with current feedback is developed based on optimal feedback control and the gradient method. a sufficient condition that guarantees the convergences is given for linear system. the procedures of designing the algorithm can employ lqr, h2 or h approaches to improve the convergence rate of learning in iterations

    本文的主要成果有： 1 、在開閉環綜合迭代學習控制結構的基礎上，分析了利用梯度下降法設計前饋迭代學習控制器時，為保證演算法的收斂性，閉環控制系統應該滿足的充分條件，並依據提高演算法收斂速率的優化條件，給出了基於lqr 、 h _ 2和h等優化控制技術的迭代學習控制演算法的設計方法。
  14. A new robust adaptive scheme which are used for tracking of this robot with parametric and bounded external uncertainties is proposed in this thesis. the controller is consist of a controller which is proposed by slotine1 ' 1 and nonlinear continued feedback compensation part. by estimating the unknown physical parameters of robot on - line, it can eliminate the effects result by parameters and external disturbances and guarantee gas and uniform boundedness of parametric estimation. the only information required in setting up the strategy is the output states of jionts, while the inversion of the inertia matrix or estimation the bound of the inertia matrix and measure the jionts accelerations are not needed. it is shown by simulations that the proposed control scheme has quicker convergence velocity and better control precision than paper [ 1 ] and control schemes at present

    針對該模型具有參數及有界外部擾動不確定性時提出了一種新的魯棒自適應控制策略，控制器由基於slotine的控制器和非線性連續反饋補償控制器構成。通過在線估計機器人的未知物理參數，有效的消除了由參數及外部擾動所引起的不確定性影響，保證系統達到漸近穩定和參數估計一致有界。與現存的許多控制方法相比，該控制策略不需求解慣性矩陣的逆或估計慣性矩陣的界，不需測量關節加速度，而唯一需要了解的只是系統輸出的位置及速度狀態。
  15. This kind of controller is easy to design and operate, and has improved convergence rates and less overshoot than pid controller, but has stable error. in order to improve the properties of the fuzzy controllers, fine - tune - rule fuzzy controller, fine - tuned parameter fuzzy controller and fuzzy - pi controller were designed respectively based on the simple fuzzy controller. then fuzzy logic inferential system is established by using toolbox of fuzzy logic in matlab7. 0. secondly, in simulink6. 0, through the instance of the template of s - function, the module of s - function for optimizing fuzzy control and corresponding control model are constructed, and the parameters of simulation are set

    這種控制器易於設計、實現方便，較傳統pid控制有更快的響應速度和更小的超調，但其存在靜態誤差;為了進一步提高模糊控制器的控制特性，在此基礎上分別設計了可調整控制規則模糊控制器、參數自整定模糊控制器和模糊- pid復合控制器;然後利用matlab7 . 0模糊邏輯工具箱圖形用戶界面建立模糊邏輯推理系統，在simulink6 . 0系統模擬設計平臺中通過實例化s函數模板創建旨在優化模糊控制的s函數功能模塊，並構建模糊控制系統框圖模型，設置系統模擬參數，最終對系統進行動態模擬。
  16. Traditional inertial mechanized - platform uses velocities to damp the system attitude to improve the precision of attitude, when the system acceleration is small. referring to the idea, this paper designeda damp kalman filter in strap - down attitude heading reference system ( ahrs ). the new method makes use of 3 - d accelerometer ' s measurements to estimate the system attitude, which is measured to compensate attitude errors. because the acceleration affected the precision of fiher directly, the fuzzy adaptive system was presented. the fuzzy logic inputs are three accelerations and the output is to control the measurement noise covariance matrix. simulations and experimental results prove that the damp algorithm can damp most of schuler oscillation and foucauh oscillation, so that to assure the filter convergence and efficiently improve the precision of strap - down ahrs

    在系統機動性不強的情況下，傳統的平臺內阻尼演算法將系統本身的速度信息通過阻尼網路加到系統中，達到提高姿態角精度的目的.將這種平臺內阻尼的思想引入到捷聯慣性航姿系統中，在系統加速度較小的情況下，利用加速度計的輸出估計系統姿態角，通過卡爾曼濾波的形式補償系統姿態誤差.由於加速度的大小直接影響濾波器精度，本文設計了模糊自適應卡爾曼濾波演算法，根據三軸加速度計的輸出調整內阻尼量測誤差方差陣，從而避免了濾波器的發散.模擬和實驗驗證，內阻尼演算法可明顯抑制舒勒周期振蕩和傅科周期振蕩，避免了系統姿態漂移，有效提高了捷聯慣性航姿系統的精度
  17. The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks, guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms, meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system

    模擬結果表明遺傳演算法能夠快速穩定地學習神經網路，保證全局收斂西安理工大學碩士學位論文並且能夠克服傳統誤差反傳演算法的一些缺點，也證明了這種神經網路自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便於在實際系統中應用。
  18. The problem is then fed to a nonlinear programming routine to solve for all parameters. the flight dynamics model with yawing motion of uh - 60a is given, scale factors of state variables and control variables are applied based on the consideration of algorithm convergence. then, the optimization of trajectories is expressed as optimal control problem with a performance index constrained by helicopter performance limits, faa regulation and so on

    首先，建立帶偏航運動的直升機點質量模型，然後對狀態變量和控制變量進行無量綱處理，因為狀態變量和控制變量量值相差較大，這使得優化演算法收斂效果變差，所以需要選擇適當的縮放因子，最後把直升機單臺發動機停車后的飛行軌跡表示成一個最優控制問題，即在考慮直升機性能限制和far規范后，指定一個優化性能指標，選擇合適的路徑約束，然後再解最優控制問題。
  19. This involves convergence between qos and bandwidth control, convergence between control and management, dynamic routing, protection conversion, etc.

    研究qos和帶寬控制、控制和管理的融合，研究動態選路和保護倒換等。
  20. In order to speed up the convergence, the crossover and mutation rates are adjusted with on - line fuzzy control according to the evolution situation

    為加快收斂速度，根據種群進化情況對交叉率和變異率進行在線模糊控制。
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