state trajectory 中文意思是什麼

state trajectory 解釋
狀態軌跡
  • state : n 1 〈常作 S 〉國，國家；〈通例作 S 〉（美國、澳洲的）州；〈the States〉 美國。2 國務，政權，政府...
  • trajectory : n （拋射體的）軌道，彈道；流軌；【幾】軌線。 a curved [direct fire flat highangle fire low] traje...
  1. It is generally impossible to obtain the analytic optimal guidance law for complex nonlinear guidance systems of homing missiles, and the open loop optimal guidance law is often obtained by numerical methods, which can not be used directly in practice. the neural networks are trained off - line using the optimal trajectory of the missile produced by the numerical open loop optimal guidance law, and then, the converged neural networks are used on - line as the feedback optimal guidance law in real - time. the research shows that different selections of the neural networks inputs, such as the system state variables or the rate of los ( line of sight ), may have great effect on the performances of the guidance systems for homing missiles. the robustness for several guidance laws is investigated by simulations, and the modular neural networks architectures are used to increase the approximating and generalizing abilities in the large state space. some useful conclusions are obtained by simulation results

    對于復雜的非線性導彈制導系統，很難求得其解析的最優制導律，只能求得開環的數字解，不能適用於具有時變不確定性的導彈制導系統.利用神經網路的學習和推廣能力，對開環的數字最優制導律進行離線的學習，作為閉環的神經最優制導律在線應用.研究分別選擇系統狀態變量和視線角速率等不同的神經網路輸入對制導系統性能的影響，以及各種制導律的魯棒性問題，並採用模塊化神經網路結構提高神經網路的學習和推廣能力，模擬結果得到一些有益的結論
  2. The classical analog of this state of motion is a straight-line trajectory back and forth through the nucleus.

    這個運動狀態的經典對應，是通過原子核來回運動的直線軌道。
  3. Considering that the state variables can be measured easily and the autopilot can be designed expediently, the btt missile ' s control model in which all trajectory states can be measured is presented in this thesis

    並考慮到狀態變量的可測量性和自動駕駛儀設計的方便性，建立了全彈道可測量的btt導彈控制數學模型。
  4. The simulation results show that the btt missile ' s robust autopilot designed on a standard state point can make the btt missile fly stably along the whole trajectory, and has the ability of intercepting maneuvering targets

    模擬結果表明：本文按給定空域內一個特徵點設計的btt導彈魯棒自動駕駛儀能控制btt導彈在該空域內沿全彈道穩定飛行，並具有攔截機動目標的性能。
  5. If we wish the btt missile fly stably and accurately along the whole trajectory with the autopilot designed on a special state point, we need to apply the multiple - variable robust design method to design the btt missile ' s autopilot

    因此，如希望按一個特徵點設計的自動駕駛儀能夠控制btt導彈沿全彈道穩定、準確地飛行，就要利用多變量魯棒設計方法設計btt導彈的自動駕駛儀。
  6. The application of proposed ailc to the steady state optimization of nonlinear industrial process, in which the set - point and the target trajectory vibrate frequently, is investigated to improve the transient dynamic performance

    並且針對非線性工業過程穩態優化中的設定值多次變動，目標軌線多次變動的問題，提出了一種新的自適應迭代學習演算法，以改善系統過渡過程的動態品質。
  7. Thirdly, the adaptive iterative learning control is used for the dynamics in the steady state optimization of nonlinear industrial process. the process operates continuously without resetting of initial value. the difficulty of selecting target trajectory is overcome effectively

    第三，對非線性工業控制系統的穩態優化問題，用自適應迭代學習控制對其動態施行控制，不需要狀態重置，系統是連續運行的，並且有效克服了ilc應用到穩態優化控制中目標軌線選取的困難。
  8. The missile ’ s lunch point parameters and burnout point parameters are estimated using boost phase state estimation, and the impact point is predicted according to ellipse trajectory theory. and the effect of the estimation error of the burnout point on the impact estimate precision is analyzed

    應用主動段的狀態估計值估計了導彈發射點參數和關機點參數，根據橢圓彈道理論進行了落點預報，並分析了關機點參數估計誤差對落點估計精度的影響。
  9. 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。
  10. The state trajectory of system is chattering, which restrict it ' s actual applications. in the circumstances, the arrival condition and the existence condition have been changed. it is significant to study discrete - time vsc ( dvsc ) to reduce chattering of sliding mode

    同時，在離散的情況下，滑動模態的性質、存在條件及其到達條件都已經改變，因此研究離散時間系統變結構控制方法對降低抖振具有重要的理論價值和實際意義。
  11. The attack process is segmented into three necessary phases and an improved tool called rapidly - exploring random tree is used for trajectory planning at the last approaching phase by using the concept of state - time space

    將攻擊過程劃分為三個必要的階段進行分析，並針對最後關鍵的逼近階段提出了改進的快速擴展隨機樹演算法，通過在原演算法的基礎上融人狀態一時間空間的思想，使改進后的演算法能夠有效地處理動態環境中的軌跡規劃問題。
  12. ( 2 ) data association method of multi - target tracking has also been researched. we study the distance - gate which has big effect on data association, analyze global distance - gate and elliptical distance - gate. then we adopt different distance - gate according to different trajectory state

    首先研究了對數據關聯效果影響比較大的相關門，分析了球形相關門和橢球形相關門，並根據航跡狀態的不同選擇不同形狀的相關門。
  13. Using finite time control techniques for continuous systems, a continuous state feedback control law for trajectory tracking is developed

    利用該連續系統有限時間控制技術，設計一種連續的狀態反饋跟蹤控制演算法。
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