零初始條件 的英文怎麼說
中文拼音 [língchūshǐtiáojiàn]
零初始條件
英文
zero initial condition- 零 : Ⅰ數詞1 (零數) zero2 (數的空位) zero sign (0); nought 3 (表示沒有數量;無) nil; nought 4 (...
- 初 : Ⅰ名詞1 (開始的部分) at the beginning of; in the early part of 2 (姓氏) a surname Ⅱ助詞(附著...
- 始 : Ⅰ名詞1 (最初; 起頭) beginning; start 2 (姓氏) a surname Ⅱ動詞(開始) start; begin Ⅲ副詞[書面...
- 條 : Ⅰ名詞1 (細長的樹枝) twig 2 (條子) slip; strip 3 (分項目的) item; article 4 (層次; 秩序; 條...
- 件 : Ⅰ量詞(用於個體事物) piece; article; item Ⅱ名詞1. (指可以一一計算的事物) 2. (文件) letter; correspondence; paper; document
- 條件 : 1. (客觀的因素) condition; term; factor 2. (提出的要求) requirement; prerequisite; qualification
-
The fundamental solution of the mixed problem with the third kind homogeneous boundary condition and that with the zero initial condition are given respectively
分別給出具有第三類齊次邊條件的混合問題基本解以及具有零初始條件的混合問題基本解。Under the condition of asymmetric distribution of npv probability, the probability of npv less than 0 can more accurately describe the risk of investment retun then the probability of npv less than 0 that concessionaire may accepted determines the condition satisfied by the economic parameters of concession contracts. with the premises of expected objective value of each parameter fixed by the designers of concession contracts and the weighted value of this parameter, an optimal objectiv
特許權人可以接受的npv小於零的概率決定了特許權合約經濟參數需要滿足的條件,在特許權合約設計者可以對每個參數確定一個初始的期望目標值和該參數的權重條件下,本文通過構造一個優化目標函數,解決了合約經濟參數的優化選擇問題。3. the application of iterative learning control under the condition of zero initial error
零初始誤差條件下迭代學習控制在機器人中的應用。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。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。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。On the basis of deep research of its working principal, basic algorithm and error spread character, the gyro constant drift, acceleration zero error and constant initiation error of static pedestal strapdown inertial navigation system are quantitatively analyzed. furthermore with the medium precision inertial navigation device as the simulation object, we made some mathematical simulation
詳細研究了捷聯式慣性導航系統的工作原理、基本演算法和誤差傳播特性;對靜基座條件下捷聯慣導系統中陀螺常值漂移、加速度計常值零位誤差和常值初始條件誤差引起的系統誤差進行了定量分析;以中等精度的慣性器件構成捷聯慣導系統作為模擬對象,進行了數字模擬。Novel d - type and pd - type iterative learning control algorithms proofs of convergence and their application in robot are presented
非零初始誤差條件下迭代學習控制在機器人中的應用。分享友人