障礙函數 的英文怎麼說

中文拼音 [zhàngàihánshǔ]
障礙函數 英文
barrier function
  • 障 : Ⅰ動詞（阻隔; 遮擋） block; hinder; obstruct Ⅱ名詞（遮擋物） barrier; block; obstacle
  • 礙 : 動詞（妨礙； 阻礙； 遮蔽） hinder; obstruct; be in the way of
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 障礙 : 1 （阻礙） hinder; obstruct; rub; bar; stick2 （阻擋前進的東西） obstacle; obstruction; barrier; ...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Barrier function for the nonlinear complementarity problem

    非線形互補問題的障礙函數法
  2. Then a new attractive force function and a new repulsive force function are deduced, which the robot can adjust its velocity to escape from obstacles, and move to target quickly, or track target synchronously

    在新的勢場函數作用下機器人能夠快速調整自身的速度大小和方向，使其快速脫離障礙物的威脅並能快速地到達目標或追蹤目標。
  3. This paper sets up the kinematics and dynamics models of three - link mobile manipulator by using lagrange dynamics equation and nonholonomic dynamics routh equation, and the method of artificial potential function is applied to the mobile manipulator to avoid collision with the obstacles and reach its target

    摘要採用拉格朗日動力學方法和非完整動力學羅茲方程建立了三連桿移動機器臂運動學和動力學模型，並且利用該模型採用了人工勢函數方法來驅動移動機械臂系統繞過障礙物到達目標位置。
  4. The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method

    本論文將增強式學習演算法和人工勢場法相結合，提出狀態評價函數和勢場的對應關系，以及控制策略和勢場力方向的對應關系，通過機器人的自適應學習，來形成優化的人工勢場，使機器人能夠以最短路徑繞過障礙，到達目標。
  5. Simulation results for non - isothermal flow pass plate have been shown. the spatial correlations in a fluid subjected to an external temperature gradient have been computed by using cellular automata simulations of a simple lattice - gas model with temperature. but, this theory is found limitedly applied to mechanics

    並給出了平板非等溫流體繞流流動現象的模擬結果；通過採用一個含有溫度的簡化格子氣模型，用細胞自動機方法，模擬計算了服從于外部溫度梯度的二維流體中的平衡與非平衡空間相關函數，數值結果表明：該方法的計算結果和由漲落流體動力學理論的預言在是性上是完全符合的； bernsdorf等人用ca討論在復雜障礙物情況時的流體流動問題。
  6. In the applied part, kernel method is used to improve the method of classification with one class training data. the improved method is combined with ground plane transformation method, so that information from monocular vision and stero vision can be fused effectively. based on this, a demo system of obstacle detecting in outdoor scenes is developed

    在實踐應用部分，本文利用核函數方法，改造了現有的單類判別方法，並結合雙目視覺技術中的重投影方法，實現了單、雙目信息的有效融合，研製了一個自然場景下的障礙檢測實驗演示系統。
  7. The second chapter reveals the mathematical essence of entropy regularization method for the finite min - max problem, through exploring the relationship between entropy regularization method and exponential penalty function method. the third chapter extends maximum entropy method to a general inequality constrained optimization problem and establishes the lagrangian regularization approach. the fourth chapter presents a unified framework for constructing penalty functions by virtue of the lagrangian regularization approach, and illustrates it by some specific penalty and barrier function examples

    第一章為緒論，簡單描述了熵正則化方法與罰函數法的研究現狀；第二章，針對有限極大極小問題，通過研究熵正則化方法與指數（乘子）罰函數方法之間的關系，揭示熵正則方法的數學本質；第三章將極大熵方法推廣到一般不等式約束優化問題上，建立了拉格朗日正則化方法；第四章利用第三章建立的拉格朗日正則化方法，給出一種構造罰函數的統一框架，並通過具體的罰和障礙函數例子加以說明。
  8. This paper introduces an evading obstacles method of mobile robot which is in an uncertain environment, and the mobile robot can evade the obstacles detected by means of fuzzy control algorithm, which adopts fuzzy membership function with real physical content

    摘要闡述了在不確定環境下，機器人通過在探測過程中採用基於實際物理意義的隸屬函數的模糊演算法來躲避障礙物的方法。
  9. Chapter 2 establishes the theoretical framework of a class of dual algorithms for solving nonlinear optimization problems with inequality constraints. we prove, under some mild assumptions, the local convergence theorem for this class of dual algorithms and present the error bound for approximate solutions. the modified barrier function methods of polyak ( 1992 ) and the augmented lagrange function method of bertsekas ( 1982 ) are verified to be the special cases of the class of dual algorithms

    第2章建立求解不等式約束優化問題的一類對偶演算法的理論框架，在適當的假設條件下，證明了該類演算法的局部收斂性質，並給出近似解的誤差界，驗證了polyak （ 1992 ）的修正障礙函數演算法以及bertsekas （ 1982 ）的增廣lagrange函數演算法都是這類演算法的特例。
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