控制收斂定理 的英文怎麼說

中文拼音 [kòngzhìshōuliǎndìnglǐ]
控制收斂定理 英文
dominated convergence theorem
  • 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...
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  2. Sufficient conditions are obtained for the existence of bounded positive solutions of the n - order delay differential equations with nonlinear neutral term, on the basis of lebesgue ' s monotone convergence theorem and banach contraction theorem

    摘要利用控制收斂定理和壓縮映射原理研究了一類具非線性中立項時滯微分方程有界正解的存在性，獲得了其存在有界正解的充分條件。
  3. Aim at the dtc ' s blemish mentioned above and the direction of dtc technique development, the dissertation put great emphasis on the work as follows, with an eye to exalt dtc system function : ( 1 ) a new speed - flux observer of an induction motor is proposed to enhance the accuracy of flux observing, which is an adaptive closed - loop flux observer and different from the traditions. a new adaptive speed - observation - way is deduced out according to the popov ' s stability theories ; ( 2 ) to improve the performance of dtc at low speed operation, we have to exalt the accuracy of the stator flux estimation and a new way of bp neural network based on extended pidbp algorithm is given to estimate and tune the stator resistance of an induction motor to increase the accuracy of the stator flux estimation ; ( 3 ) digital signal processor is adopted to realize digital control. an device of direct torque control system is designed for experiment using tms320lf2407 chip produced by ti company ; ( 4 ) bring up a distributed direct torque control system based on sercos bus, sercos stand for serial real time communication system agreement which is most in keeping with synchronous with moderate motor control ; ( 5 ) the basic design frame of the hardware and software of the whole control system is given here and some concrete problem in the experiments is described here in detail

    針對上面提到的直接轉矩控制的缺陷和未來直接轉矩控制技術發展方向，本論文重點做了以下幾個方面的工作，目的在於提高dtc系統的綜合性能： （ 1 ）提出一種新型的速度磁鏈觀測器，新型的速度磁鏈觀測器採用自適應閉環磁鏈觀測器代替傳統的積分器從而提高磁鏈觀測的精度，並且根據popov超穩定性理論推導出轉速的新型自適應收斂律； （ 2 ）改善系統的低速運行性能，主要從提高低速時對定子磁鏈的估計精度入手，提出了一種提高定子磁鏈觀測精度的新思路? ?利用基於bp網路增廣pidbp學習演算法來實時在線地修正定子電阻參數； （ 3 ）採用數字信號處理器dsp實現系統全數字化硬體控制，結合ti公司生產的tms320lf2407晶元，設計了直接轉矩控制系統的實驗裝置； （ 4 ）提出了基於sercos總線網路化分散式的直接轉矩控制系統， sercos （ serialrealtimecommunicationsystem ）是目前最適合同步和協調控制的串列實時通信協議； （ 5 ）基本勾勒出整個控制系統的硬體和軟體設計基本框架，詳細描述一些實驗中的具體的細節問題。
  4. So the paper combined the fuzzy logic control and recurrent neural network, and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system. moreover, an online parameter training methodology, which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn. the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results

    因此論文將模糊控制和具有優越動態性能的遞歸神經網路結合起來，取長補短，提出了一種遞歸模糊神經網路控制方法，利用神經網路來實現模糊推理，可動態的調整隸屬函數的形狀、位置以及神經網路遞歸權值，並對其與pi控制器的交流調速控制系統進行了模擬比較，模擬結果表明與普通的pi控制器相比較，遞歸模糊神經網路控制器有較好的動態性能，控制器的收斂速度快、靜差小，系統在遇到參數發生變化和外部不確定性問題時魯棒性、抗擾動性有明顯的提高。
  5. 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。
  6. 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。
  7. Abstract : a continuous type inferential control algorithm and the proof of the stability and the convergency of the inferential control system are given in this paper. the system has the performance of convergency and robustness. the algorithm which is simple and has only one adjustable parameter q and has been successfully used for the servo control of the tension of the film in the metallized film capacitor automatic winding machine and we get a satisfactory result

    文摘:給出了一種適用於工程常見的二階對象的連續型推理控制演算法，以及推理控制系統的穩定性和收斂性證明.該系統無差、穩定，且具有較好的魯棒性.該控制演算法簡單，僅有一可調參數q ，並成功地應用於薄膜電容器全自動卷繞機中作為快速張力伺服控制，取得滿意效果
  8. However, when the plant has uncertain parameters or the variant gain coefficient of iterative leaning control, the present method has some defects, such as lipschitz continuity of nonlinear function and the dependence of convergence analysis on actually unknown ideal input

    但當被控對象含有不確定的參數或迭代學習控制律的增益系數時變時，現有的方法存在很大缺陷，如要求非線性項滿足lipschitz連續性，控制律的收斂性分析依賴于實際上是未知的理想輸入，初值重置問題等。
  9. ( 2 ) in order to overcome the difficulties caused by the non - minimum phase, an optimal ilc scheme with current feedback is presented for linear non - minimum phase plants based on noncausal stable inversion. the sufficient condition to ensure the convergence of this scheme is obtained and the utility mode of using the noncausal algorithm is given to fit the practical application

    2 、針對迭代學習控制在非最小相位系統上應用效果差的缺點，根據非因果的穩定逆理論，提出了一種基於穩定逆的最優開閉環綜合迭代學習控制，分析了學習律的收斂性並給出了這種非因果的學習律在實際應用中的運用方式。
  10. 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。
  11. An extended hyperbolic mild - slope equation, which can take such terms as wind input, bottom friction and nonlinearity of wave into account, here has been deduced into a parabolic one in the form of a series of governing equations described with complex amplitude. it became a complete wave model when integrated with corresponding physical and imaginary ( open ) boundaries, and can be solved through the improved crank - nicholson or the well known alternating direction implicit ( adi ) difference method, both of which can accelerate the convergent speed, expand limitation of the mathematical method and improve the quality of the solution

    本文基於綜合考慮底摩阻、風能輸入及非線性影響的推廣雙曲型緩坡方程，將其進行轉換，產生一個演變方程，其復振幅控制方程為拋物線性，並採用adi差分格式、改進的crank - nicholson格式及相應的物理和虛擬（開）邊界條件進行求解，以提高數值模擬的適用性、數值計算的穩定性、收斂速度及精度。
  12. By combining chaotic dynamics and converging dynamics together, the neural network transit gradually to hopfield neural network is made. by introducing converging factor, the aim of controlling chaos is attained, which provides initial value of hopfield neural network that is near to the global optimal solutions, and solve the problem of local minimum. the principle of genetic algorithm is analyzed, and the design and of genetic algorithm are studied

    通過把混沌動力學與收斂動力學相結合，使網路逐漸由混沌神經網路向hopfield網路過渡，達到控制混沌的目的，並且提供了一個在全局最優解附近的初值，避開了神經網路權值初始化沒有理論依據的難題，無須確定連接權值和閾值，使神經網路具有物理意義明確、便於與工程應用相結合的特點。
  13. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
  14. System stability is realized. the control strategy is extended hybrid chaotic system and a designing controller method of hybrid chaotic system is deduced. from lyapunov stability theory of nonlinear system, got convergent region of system

    在此基礎上，將該控制策略推廣到混雜混飩控制系統中，並進一步推導了混雜混燉系統控制器的設計方法，根據非線性系統李雅普諾夫穩定性理論，得出了系統的收斂區域。
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