desired trajectory 中文意思是什麼
desired trajectory
解釋
預定彈道- desired : 渴望的
- trajectory : n （拋射體的）軌道，彈道；流軌；【幾】軌線。 a curved [direct fire flat highangle fire low] traje...
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This product can effectively reduce the situation of wrong wrist gesture or angle when swinging, so as to effectively hold golfer ' s wrist at correct position, keeping the club ' s trajectory at one orbicular plane, therefore to form effective and desired hitting
此款揮桿手腕角度固定器可以有效減少打球者揮桿時不正確的手腕動作及上桿的手腕角度錯誤，使打球者揮桿時有效地把手腕固定在正確的位置，保持球桿的運動軌跡在一個完整的平面上，從而形成有效的擊球，使擊球的效果更理想。 -
The very important works by the researchers in the modeling and control for flexible manipulators are introduced ; the equations of the non - holonomic constrain and dynamics are formulated. on the base of dynamic model function derived by the planar two - link flexible manipulator, the model function can be obtained by coordinate transformation ; at last the control scheme based on model of the system is put in to use to insure track desired trajectory of joint angle
在第四章中，首先，我們對柔性機械臂的動力學建模和系統控制問題做了比較全面的介紹；然後，運用lagrange方程並結合假設模態法建立了平面兩桿柔性空間機械臂系統的動力學方程。在此基礎上，通過坐標變換導出了以可測關節角為控制輸出變量的系統控制模型，基於此控制模型提出了柔性空間機械臂關節運動的動力學優化控制方案。 -
Finally, for the definite mechanism and indefinite size of industrial robots ' executor as well as the size ^ optimization goal, the mathematic model is set up to optimize the executor ' size with using complex optimization method. next, for the optimized executor, the desired trajectory and planning goal, the kinematics model and proper referent and motive coordinates systems are set up. by making use of the result of the previous motion analysis, genetic algorithm is applied to the trajectory planning of executor
最後，對于結構給定而構件尺度未定的工業機器人執行機構，先根據機構尺度優化目標，建立數學模型、用復合形法進行構件尺度優化；再根據給定的期望軌跡和規劃目標，建立數學模型，利用復指數變換法對執行機構進行運動分析的結果，採用進化演算法對工業機器人進行軌跡規劃。 -
Iterative learning control ( ilc ) is a technique for improving the transient response performance of systems or processes that operate repetitively over a fixed time interval. it refines the next control input using the information such as current control input and error signals after each trial until the specified desired trajectory is followed to a high precision
迭代學習控制針對具有重復運行性質的被控對象，利用對象以前運行的信息，通過迭代的方式修正控制信號，實現在有限時間區間上的完全跟蹤任務。 -
By using sliding mode control approaches, we consider a two - vehicle team in leader - follower configuration that is required to follow a prescribed trajectory while maintaining a desired relative distance, relative bearing angle and heading orientation
考慮了兩個機器人組成的領航者跟隨者機器人模型，通過滑模控制使它們沿預定的軌跡運動並保持預定的相對距離、方位角及運動方向。 -
And i also propose a new method oftracking control. this method divides desired trajectory into many pieces and follows the pieces one by one. with the method, the calculation of curvature of tracking trajectory and complex calculating process can be avoided, and the performance of real - time and precision can be improved
在跟蹤方面，本文提出了將被跟蹤路徑分成若干微小線段，應用以微小直線段代替曲線的方法，然後分段跟蹤，並給出了這種方法的穩定性證明，模擬結果證明了其有很好的跟蹤效果。 -
The accurate tracking of a series of desired trajectory is achieved by extension to a class of nonlinear system
並且推廣到一類非線性系統的跟蹤控制，實現了對一列期望軌跡的精確跟蹤。 -
The controller designed guarantees the semiglobal stability of the closed - loop system and the semiglobal output tracking of given desired trajectory
所設計的控制器不僅保證閉環系統半全局穩定而且使得輸出能夠半全局跟蹤期望軌跡。 -
Based on the results and with the augmentation approach, an adaptive control scheme for space robot system with unknown payload parameters to track the desired trajectory in joint space is developed
該系統動力學方程的優點是關於一組組合慣性參數能保持慣常的線性函數關系。 -
The proposed control law can guarantee that the mobile robot will track the desired trajectory in the global sense as well as in finite time when the desired rotate velocity is a nonzero constant
使得對角速度為非零常數的期望軌跡，非完整移動機器人能夠實現全局跟蹤，並能在有限時間內完全跟蹤上期望軌跡。 -
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。 -
Abstract : two computational techniques for inverse fight dynamics, namely derivation - iteration and integration - iteration techniques, are investigated. the application of inverse dynamics to determine control power requirements for post - stall maneuvering is researched, and a maneuvering flight trajectory based algorithm is provided, which lays a numerical foundation for simplifying design criteria for post - stall aircraft. with the model of inverse dynamics employed, a flight control mode for the outermost loop of the control system, named maneuver generator, is designed to follow desired complicated maneuvering flight trajectories. an example of rapid heading - reversal maneuver and other numerical simulations show the feasibility of the algorithm and the design idea
文摘:考察了求解輸入類飛行逆動力學問題的微分-迭代與積分-迭代演算法;探討了利用逆動力學確定過失速機動操縱效能要求問題，這構成了進一步提出過失速機動飛機設計簡化判據的數值基礎;利用逆動力學設計機動發生模塊進行飛控系統的最外環控制，以便跟蹤期望的復雜機動軌跡.飛機最速反向示例及其它數值模擬結果表明設計思想與演算法是可行的 -
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。 -
For single loop system, the position and speed controllers are realized by neural network, the output of network is determined by the electric current related with the desired acceleration, and the acceleration tracking control is realized indirectly, which improves the trajectory tracking performance of the mobile platform
對單桿系統，位置和速度控制器由神經元網路實現，網路輸出為產生理想加速度所需的電流，實現了加速度的跟蹤控制，提高了動平臺的軌跡跟蹤性能。 -
The effectiveness is demonstrated through the simulation of tracking the desired elliptical trajectory
通過對橢圓曲線的跟蹤模擬證明了控制器的有效性。 -
In many cases, for example, military affairs, danger tasks and services, robots can be controlled by using real time communication, to realize flexible movement according to desired velocity, orientation and trajectory
在軍事、危險操作和服務業等許多應用場合，需要機器人以無線方式實時接受控制命令，以期望的速度、方向和軌跡靈活自如地移動。
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