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cstr中文是什么意思

  • 連續(xù)攪拌釜式反應(yīng)器
  • 裝運箱

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  • 例句與用法
  • Cstr continuous stirred - tank reactor
    連續(xù)攪動水箱式反應(yīng)堆
  • Dynamics analysis of 3 - variable onlinear chemical reaction in cstr system
    化學(xué)反應(yīng)的復(fù)雜動力學(xué)行為分析
  • The feasibility of the approach is tested in the control of cstr
    這種方法的有效性在cstr的控制中得到了驗證。
  • Modulation induced nonlinear phase transitions of small amplitude oscillation in cstr - bz reaction
    反應(yīng)體系小振蕩誘導(dǎo)非平衡相變
  • 4 . the model built in this work is compared with cstr model and pfr model
    對本文所建模型與常用的cstr模型和pfr模型作了比較。
  • Simulation results for a non - isothermal cstr process demonstrate the effectiveness and efficiency of the proposed method
    通過非絕熱連續(xù)反應(yīng)釜的仿真驗證了本方法的有效性。
  • The simulation result of a continuous stirred tank reactor ( cstr ) shows that the data would deviate from normal distribution under parametric uncertainty , and different parameters have distinct effect on data distribution at the same uncertain degree
    連續(xù)攪拌釜的仿真結(jié)果表明,在參數(shù)不確定的情況下,數(shù)據(jù)會偏離正態(tài)分布,且在相同的不確定條件下,不同的參數(shù)對最終數(shù)據(jù)的分布影響也不同。
  • A novel model for residual fluid catalytic cracking process ( rfcc ) is proposed . it divides the whole reactor into two part : the riser as ideal pipe flow reactor and the sett - ler as ideal cstr . the model contains six lumps reaction kinetics with serial and parallel network
    通過將實際裝置中發(fā)生裂化反應(yīng)的提升管和沉降段反應(yīng)器分別考慮為理想的活塞流反應(yīng)器和連續(xù)攪拌式反應(yīng)器,建立了簡化的渣油催化裂化反應(yīng)6集總組分的串行和并行反應(yīng)動力學(xué)網(wǎng)絡(luò)模型。
  • In application , the problems on how to uniquely determine the kinematics inverse solution and how to constitute and simplify the optimization model using iga are mainly considered for redundant manipulator trajectory planning , in the meanwhile , the problem of realtime optimizing the control paramatres using iga in cstr tracking control is also investigated
    在實際工程應(yīng)用中,針對冗余機械手軌跡規(guī)劃,主要研究如何唯一確定運動學(xué)逆解以及如何建立和簡化iga的優(yōu)化模型;針對cstr系統(tǒng),主要研究跟蹤控制中利用iga實時優(yōu)化控制參量的問題。
  • Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed . based on that model , a multivariable nonlinear predictive control algorithm is persented . the algorithm employs the result of the linear predictive control , obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control . that greatly decreases on - line computing consumption , strengthens the reliability of the algorithm and the stability of the system . the simulation results in cstr are shown
    文摘:提出了一種由人工神經(jīng)網(wǎng)絡(luò)與線性arx模型相結(jié)合的集成模型,給出了其辨識訓(xùn)練方法.以此模型為基礎(chǔ),提出了一種多變量非線性預(yù)測控制算法.它利用線性預(yù)測控制的成果,得到一解析式的非線性優(yōu)化控制輸入,避免了通常非線性模型(包括普通人工神經(jīng)網(wǎng)絡(luò)模型)預(yù)測控制所需的在線數(shù)值尋優(yōu)計算,節(jié)約了在線計算時間,提高了算法的可靠性和穩(wěn)定性.進一步給出了在cstr反應(yīng)器上的仿真實驗結(jié)果
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