robust joint 中文意思是什麼
robust joint
解釋
堅固接頭-
Nowadays, the china beverage market is full of energetic competitions, state owned enterprises are gradually defeated and fading out, but on the other hand joint ventures and foreign owned enterprises are entering the market rapidly, for instance, multi - national companies, coca - cola, pepsi and danone as well, are continuously increasing their investment in founding local plants and have bought some internal companies, such as wahaha, robust and zhenguanhe
本人之所以選擇這個課題，是基於現階段我國飲料市場現狀決定的：現階段中國飲料市場可謂是一片狼煙，國有飲料企業逐漸銷聲匿跡，外資企業快速進入，可口可樂、百事可樂、法國達能等跨國公司不斷在國內投資建廠，先後收購了娃哈哈、樂百氏、正廣和等企業。 -
In this paper, damped least - square method utilized to overcome kinematic singularity of robotic manipulators was improved, which achieved more accurate tracking compared to the traditional method. singular value decomposition ( svd ), to which was attached great importance in singularity - robust inverse kinematics and kinematic control of redundant manipulators, was investigated. also, an overwhelmingly utilized algorithm of svd was improved and some possible problems encountered in joint failure issues and redundant issues when using this algorithm was deeply discussed
本文改進了解決機器人運動學奇異的阻尼最小二乘法，同傳統的阻尼最小二乘法相比具有更高的跟蹤精度;研究了在機器人奇異魯棒性逆運動學、機器人冗餘運動控制中佔有重要地位的矩陣奇異值分解，對一種應用廣泛的奇異值分解演算法做了改進，並對其在關節卡死和冗餘控制中可能遇到的問題做了較為深入的討論，系統地描述了一階運動學實現方案，為軌跡規劃打下了堅實的基礎。 -
A distributed control strategy is used and a high robust auto - disturbance - rejection - controller ( adrc ) is designed in joint space of robot to implement the high - precision trajectory tracking of 6 - prrs parallel robot
摘要針對6 - prrs並聯機器人控制系統的非線性、耦合等特性，採用分散控制策略，在關節空間設計強魯棒性的自抗擾控制器對其進行控制。 -
As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network
由於神經網路具有自學習能力，它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計，使得對系統正向模型的辨識達到理想的逼近精度，然後在此正向模型的基礎上進行學習控制律的設計：即採用神經網路辨識非線性系統的正向模型，並消除系統不確定性和外部干擾的影響，使關節運動沿迭代軸方向逼近期望軌跡；迭代學習控制器在線學習控制參量，使關節運動沿時間軸方向跟蹤期望軌跡。 -
Robust joint channel estimation multiuser detection with differential modulation in ds cd - ma systems
系統的通道估計與檢測方案
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