迭代控制演算法 的英文怎麼說

中文拼音 [diědàikòngzhìyǎnsuànfǎ]
迭代控制演算法 英文
iterative control algorithm
  • 迭 : Ⅰ動詞（輪流; 替換） alternate; change Ⅱ副詞1 （屢次） repeatedly; again and again 2 （及） in tim...
  • 代 : Ⅰ動詞1 （代替） take the place of; be in place of 2 （代理） act on behalf of; acting Ⅱ名詞1 （歷...
  • 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. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. Turbo codes represent the new code structures, which consist of pccc ( parallel serially convolutional code ) and sccc ( serially concatenated convolutional code ). in this paper, the background of turbo codes are firstly introduced, which includes the base principle of error correction code 、 block code and convolutional code ; the principle of turbo code and the iterative decoding is secondly expanded ; the key decoding algorithm : a revised map algorithm and iterative decoding theory are detailed ; then, a new turbo code structure : hccc ( hybrid concatenated convolutional code ) is presented, and the capacity of this code method is analyzed, the average capacity upper bound is derived ; at last, this code is simulated on awgn ( additive white gaussian noise ) channel and rayleigh fading channel

    本文首先介紹了turbo碼的背景知識，包括差錯控制的基本原理、分組碼和卷積碼；然後闡述了turbo碼的基本原理，包括turbo編譯碼器結構及迭代譯碼原理；較為詳細地描述了關鍵的譯碼演算法： ?種改進的最大后驗概率（ map ）譯碼演算法及迭代譯碼演算法；提出了一種新的turbo碼結構：混合turbo碼（混合級聯卷積碼） ；並用編碼性能聯合界分析方法對混合turbo碼進行了性能分析，得出了其平均性能上界；並在高斯白噪聲通道和瑞利衰落通道上分別作了一些應用研究及計算機模擬實驗。
  3. Traditional power control algorithin is to use a convergent iteration fimtion to set up a mathematical model. when such method is used to control the power of user, we should find the optimum solution vector of the convergent iteration funhon by iteration transform

    在傳統的功率控制演算法，通常採用某個迭代關系式為其建立某一的數學模型，該迭代關系式應滿足收斂特性。
  4. 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。
  5. Successive linear programming is proposed to solve it with the help of lindo6. 1 program. digital tests are carried out and results show that the algorithm is practical and efficient for distribution systems loss minimization and can be used to optimize real distribution system operation

    在求解過程中，結合了線性規劃模型演算法程序lindo6 . 1 ，並引入迭代步長控制系數k ，對控制變量的增量作有效的調整，同時，選取就地無功平衡點作為迭代初值。
  6. As a result, controllers cannot output signals according to the computation result of algorithm, original iterative rules are affected, and it even affects the convergence of the algorithm. in this paper, discussion of this problem was presented

    這樣控制器就無法按照迭代學習演算法的計算結果正常輸出，迭代學習控制律原有的迭代關系被破壞，並有可能破壞迭代學習控制演算法的收斂性。
  7. The parameter control methods are in the contrast, which is to find a sequence of parameters that converge to optimal value and its corresponding points in converge to optimal solution

    參數控制演算法的基本思想正好相反，它是構造參數序列來逼近最優值，相應的迭代點列逼近最優點。
  8. Genetic algorithm ( ga ) is a set of new - global - optimistic search algorithm repeatedly which simulate the process of creature evolution that of darwinian ' s genetic selection and natural elimination

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的一種新的迭代的全局優化搜索演算法，已經廣泛地應用到組合優化問題求解、自適應控制、規劃設計、機器學習和人工生命等領域。
  9. This paper exhausts fully adjustable factor which could amend the dynamic function in fuzzy control system, and that traditional algorithms select factors with intercession is easy to get a partial solution, so this paper presents a new method to select factors based on genetic algorithm. this method has a large range over covered the solutions which could benefit to search the best solutions. it has great character and advantage

    本文充分闡述了可調整因子在模糊控制中能夠改善了系統的動態性能，並根據傳統的優化演算法在選取控制因子時是從單個初始值迭代求取最優解的、很容易陷入局部最優解這一問題，提出了一種基於遺傳演算法的可調整因子的選取方法，這種方法覆蓋面比較大，有利於全局擇優。
  10. Secondly, the penalty coefficient may converge to infinity in many situations when the iterative point is closely near the bound of feasible set, while the parameters are bounded if the solution set of constrained optimization is nonempty, which is available for numerical computation

    另外在很多情況下，罰函數法中的罰因子當迭代點接近可行域邊界時趨于無窮大，而參數控制演算法中，只要約束優化問題有最優解，則參數是有界的，這對數值計算是有利的。
  11. The main task of traditional methods is to construct iterative points and that of parameter control methods is to find a sequence of parameters

    傳統演算法的關鍵是構造迭代點，而參數控制演算法的關鍵是構造參數序列。
  12. Considering a half - freedom mobile robot, the paper had done some conceptual analysis and design, then emphasized on some essential functions, including velocity control, path plan, target tracking etc. studied the algorithms respectively, such as pid algorithms, iterative algorithms, fuzzy logic algorithms, and so on, and used matlab to simulate and compared with each other

    本文以市內半自主式移動機器人為研究對象，在研究整體系統組成及功能結構的基礎上，對其主要功能進行了概念性分析設計，並著重研究了其中幾項主要的基本的功能：包括速度控制、路徑規劃、目標跟蹤等，分別研究了這些功能實現的演算法，如pid演算法、迭代學習演算法、模糊邏輯演算法等，並應用matlab進行模擬分析。
  13. 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。
  14. 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。
  15. The result demonstrates that the algorithm of mixed iterative learning control can suppress the vibration of the model by 15 %

    模擬及試驗結果均表明:迭代學習控制演算法在對懸臂梁的振動抑制上具有良好的效果。
  16. The characteristic of method is, in every process of iterative learning, after obtaining better approaching precision of network training for model identification iteratively, the feed - forward action of iterative learning control law for the next trail is constructed by output signals of the neural network, and then integrated with feedback control to track the desired trajectory of robot in real time

    該方法的特點是，在每一次迭代學習過程中，使神經網路訓練到對模型的辨識達到比較好的逼近精度后，利用神經元網路的輸出構造下一次迭代學習過程中控制律的前饋部分，再將它與實時反饋控制結合，形成本文提出的魯棒迭代學習控制演算法，並對機器人系統進行控制。
  17. Thus, it is a good subject to investigate the iterative learning algorithms " application in robotic manipulators. so that it can be convergent in those conditions under constrains and can control robotic manipulators properly to realize trajectory tracking well

    如何在上述這些限制和條件下，使迭代學習控制演算法收斂，並使機械手得到良好的控制，實現對期望軌跡的完全跟蹤，成為了一個很好的課題。
  18. Different kinds of iterative learning control algorithms under the condition of zero initial error and the non - zero error have been introduced

    主要介紹了零初始誤差條件下和非零初始誤差條件下的迭代學習控制演算法。
  19. The application of iterative learning control under the condition of non - zero initial error. novel d - type and pd - type iterative learning control algorithms. proofs of convergence and their application in robot are presented

    主要介紹了在非零初始誤差條件下d型改進型迭代學習控制演算法和pd型改進型迭代學習控制演算法、收斂性分析及其在機器人中的應用。
  20. This paper presents the application of iterative learning control in robot. iterative learning control algorithms have been designed under the condition of zero initial error and non - zero initial error. the convergence of the algorithms has been proved using the lyapunov stability theory

    本文主要研究了迭代學習控制在機器人中的應用，並分別在零初始誤差條件下和非零初始誤差條件下設計了迭代學習控制演算法，並採用lyapunov穩定性理論證明了演算法的收斂性，最後將迭代學習控制演算法應用於機器人中進行了模擬研究。
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