擬棒狀的 的英文怎麼說

中文拼音 [nǐbàngzhuàngde]
擬棒狀的 英文
clavarialike
  • 擬 : 動詞1. （設計; 起草） draw up; draft 2. （打算; 想要） intend; plan 3. （模仿） imitate
  • 棒 : Ⅰ名詞（棍子） stick; staff; club; cudgel Ⅱ形容詞[口語] （強; 高; 好） strong; excellent; good
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 棒狀 : rodlike; [生物學] clavate; [植物學] virgate
  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. On the theory, the predictive function control method based on the state space is discussed and the simulation results validate the pfc method ' s advantages on robust and anti - jamming comparing with pid method by computer simulation. the application research includes the application of the software of predictive function control ( apc - pfc ) and the software of the multiple - variables predictive control ( apc - hiecori ). the former were applied in the temperature control chlorinating process and ph control in the process of zymolysis of penicillin, the latter were applied in the advanced control of reclaim equipment of lox in china petroleum & chemical corporation yangzi petrochemical co., ltd

    本文主要從理論和應用兩方面對預測控制方法進行了研究，理論方面主要是從預測函數控制的基本原理出發，研究了一般情況下的基於狀態空間描述的預測函數控制策略，並通過計算機模擬驗證了pfc演算法比常規pid演算法具有更好的魯棒性和抗干擾性：在實際工業過程的應用上，又分為兩類演算法及軟體的應用，預測函數控制策略及apc - pfc軟體的應用主要以聚乙烯氯化過程的溫度控制和青霉素發酵過程的ph值控制為主，多變量預測控制演算法和apc - hiecon軟體的應用主要以揚子石化公司的液化氣回收裝置先進控制為主。
  3. It is shown in the simulation that sliding mode control can guarantee the stability and robustness while vehicle is braking even if abs operates at the instability region of the adhesion coefficient and wheel slip curve or the surface condition changes, which is better than the pid control and nonlinear pid control

    模擬結果顯示，即使在附著系數和滑移率關系曲線的不穩定區域，或是路面狀況發生變化，滑模控制也能保證制動的穩定性和魯棒性，其控制效果優于pid和非線性pid控制效果。
  4. An optimal hankel norm approximation model reduction method is used to reduce the equations of motion to lower order size. it is shown that the method is steady, efficient by numerical emulating. firstly, the influence of viscoelastic layer thickness and material properties, piezoelectric actuator layers thickness on the vibration suppression are investigated

    採用最優hankel最小階逼近降階法對主被動混合阻尼結構的控制狀態方程進行降階，以附加主動約束阻尼層的梁結構為例，進行了數值模擬，結果表明：該方法是一種穩定的、高效的、魯棒性很好的降階方法。
  5. The simulation experiment has been done on a turbofan aeroengine. simulation results indicate that the neural network controller has quick response and has good performances in the full envelope

    對某型渦扇發動機飛行包線內不同狀態點進行了模擬試驗，模擬結果表明，控制器響應速度快，魯棒性好，取得了良好的效果。
  6. The simulation results of a batch process shows that the iterative particle swarm algorithm can solve the robust optimization problems of batch processes effectively if there is no state independent and end - point constraints

    對一個間歇過程的模擬結果證明了迭代粒子群演算法可以有效地解決無狀態獨立約束和終端約束的間歇過程魯棒優化間題。
  7. The electro - hydraulic proportional control law is given. the laws of tracking control of displacement and speed of aircraft as well as tracking control of angle and angular speed of belt wheel are designed by means of state feedback linearization and quadratic performance index linear optimal control method. the robustness of the designed systems is analyzed, and arresting processes are simulated

    給出了電液比例控制規律；利用狀態反饋線性化及二次型性能指標線性最優控制方法分別設計了系統跟蹤控制飛機位移與速度以及跟蹤控制帶輪轉角與角速度的非線性控制規律；對所設計的攔阻系統進行了魯棒性分析及攔阻過程模擬，模擬結果表明，通過選取適當比例系數或控制權系數，兩種控制系統的控制效果及魯棒特性均優于新型飛機攔阻系統。
  8. So the paper combined the fuzzy logic control and recurrent neural network, and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system. moreover, an online parameter training methodology, which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn. the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results

    因此論文將模糊控制和具有優越動態性能的遞歸神經網路結合起來，取長補短，提出了一種遞歸模糊神經網路控制方法，利用神經網路來實現模糊推理，可動態的調整隸屬函數的形狀、位置以及神經網路遞歸權值，並對其與pi控制器的交流調速控制系統進行了模擬比較，模擬結果表明與普通的pi控制器相比較，遞歸模糊神經網路控制器有較好的動態性能，控制器的收斂速度快、靜差小，系統在遇到參數發生變化和外部不確定性問題時魯棒性、抗擾動性有明顯的提高。
  9. The nonlinear simulations and dynamic simulating tests show that h pss is insensitive to the changes of operating conditions and perturbations, it can restrain oscillations under a wider range of operating conditions than the conventional pss. the robustness of h pss is very good. yang lin ( power system and its automation ) directed by prof

    為了與傳統電力系統穩定器進行比較，對單機無窮大系統進行了非線性模擬和動模實驗，結果表明： h pss對運行狀態的變化以及外界干擾不敏感，能夠在較大的運行范圍內有效地抑制振蕩，顯示了很好的魯棒性。
  10. This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum. for the linear systems with unknown parameters, we identify the parameters using hopfield network, then design the observers using the identified parameters, the exponential convergence of adaptive observer is also proved. for the linear time - varying systems, a new network to solve the time - varying sylvester equation is proposed, we analysis it ' s convergence and robustness, then, deign the linear time - varying observer using this network model, and we discuss the convergence of the observer and ruboustness to unknown match parameters

    同時保證了sylvester方程的解矩陣的可逆性和觀測器的增益矩陣與輸入矩陣范數的和最小；在設計線性時不變自適應觀測器時，首先利用系統的輸入、輸出數據設計一個hopfield網路參數估計器，進一步設計狀態觀測器，證明了參數估計器和狀態觀測器的指數收斂性；為了仍然從神經優化計算的角度設計線性時變系統的狀態觀測器，最後介紹了一種求解時變sylvester矩陣方程的神經網路模型，分析了它的收斂性和魯棒性，然後利用該網路設計時變狀態觀測器，進一步討論該觀測器的在系統存在未建模不確定和外部噪聲時的魯棒性；最後給出了一種基於分離性原理和hopfield網路觀測器的狀態反饋閉環系統的結構，分析了該閉環系統的特點；對于每一種設計方法都給出了相應的數值模擬例子來進一步表明所提方法的可行性和有效性。
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