on-line system simulation 中文意思是什麼

on-line system simulation 解釋
在線系統模擬
  • on : adv 1 〈接觸、覆蓋〉上去；開（opp off）。 turn on the light [radio water gas] 開電燈[收音機、自來...
  • line : n 1 線；繩索；釣絲；測深度用繩，捲尺。 a fishing line 釣魚線。 be clever with rod and line 會釣魚...
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  • simulation : n. 假裝；模擬；裝病，裝瘋；【生物學】擬態，擬色。
  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. Experimental and simulation researches are implemented on basic concepts, key unit technologies of line - of - sight stabilization of acquisition, tracking and pointing ( atp ) system on moving bed. system simulation gives the complete system performance estimations

    針對運動平臺捕獲、跟蹤與瞄準系統視軸穩定技術的基本概念、關鍵單元技術進行了實驗和模擬兩方面的工作，以模擬的形式對系統的最終性能給出了預估。
  3. The technical supporting system of careful regulation includes on - line information monitoring, remote sensing soil moisture monitoring, low - water routing, simulation and brainpower regulation and control

    精細調度的技術支撐體系包括：在線信息監測、衛星遙感墑情監測、枯水徑流演進、模擬模擬、智能調控等。
  4. The effect of phase - shift between pumping and signal light on the transmission performance of dynamic - soliton system using phase sensitive amplifier ( psa ) as on - line amplifiers is theoretically analyzed by computer simulation

    摘要採用計算機系統模擬方法，研究抽運光與信號光之間的相位漂移對在線放大器為相敏光放大器的動態孤子傳輸性能的影響。
  5. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
  6. Now the system was checked and accepted by economic and commerce committee of p. r. china ( [ 2003 ] no. 216 ) ( see also in the appendix ii ). the system includes gis management module, traffic simulation system ' s parameter setting module, the other third side ' s traffic light controlling program module, microcosmic simulation module and simulation results analysis module, which can realize the on - line simulation and off - line analysis function

    4 、結合筆者在團隊開發的城域微觀混合交通流模擬與分析系統（ simulationandanalysissystemofurbanmixedtraffic ，簡稱sasumt ）中所進行的圖形用戶界面的設計、模擬內核中微觀對象的實現等工作，探討了軟體圖形用戶交互實現過程中的一些技術難點。
  7. Judging by simulation experiments, the approach can accurately on - line detect sensor fault, separate the fault sensors in the meantime, and it can provide system and equipment with temporary predictive signals

    該方法採用在線學習訓練網路，並給出傳感器的預測信號，對傳感器是否發生故障做出檢測，模擬實驗證明，該方法對傳感器的故障能在線做出準確的檢測，同時隔離故障傳感器並為系統和設備提供臨時的預測信號。
  8. Several transient simulation programs have been developed based on the models above, and were put into practice of the transient simulations of following : ( 1 ) autoregulation on water height of the fore bay in single pump station, and the influence of governor parameters ; ( 2 ) autoregulation on output of adjustable - blade pump in single pump station, and the influence of governor parameters ; ( 3 ) on - line autoregulation on flow equation of multilevel pump stations system

    本文應用上述方法編制了過渡過程模擬程序， （ 1 ）進行了單級泵站中轉槳泵在線自動調節泵站前池水位的動態模擬計算，並對調節參數的影響做了比較研究； （ 2 ）進行了單級泵站中轉槳泵在線自動調節泵輸出流量的動態模擬計算，並對調節參數的影響做了比較研究； （ 3 ）進行了多級泵站中轉槳泵在線自動調節輸水系統流量平衡的動態模擬計算。
  9. Based on the mechanism analysis and ai technique, an optimization and decision - making model about operating parameters and an on - line simulation and detection model in the copper matte blowing process are built. a model to forecast the copper - making end point is also built by using smoke temperature in a factory. on the research mentioned above, the intelligent decision support system of the operation - optimization is developed

    在上述研究基礎上，開發了銅鋶吹煉爐優化操作智能決策支持系統，將其應用於生產實踐，使粗銅產量提高了6 . 0 ，冷料處理量提高了7 . 8 ，爐襯壽命由原來的213爐提高到235爐，提高了10 . 3 。
  10. The application of bp neural network to speed control system on usm is discussed, and a program is designed for training the bp neural network by matlab ’ s nntool, a three layers neural network of 2 - 8 - 1 is determined through simulation, then write the weights and biases of the nn into dsp to make on - line training, and it reaches the purpose of controlling usm ’ s speed

    利用matlab7 . 0中的神經網路工具箱進行結構設計和離線訓練，通過模擬實驗最終確定了2 - 8 - 1的三層網路結構，將訓練后得到的權值、閾值結果寫到dsp中，進行控制過程中給定速度的在線訓練，從而達到控制電機轉速的目的。
  11. The simulation results show the good performance for the system by using network to adjust the parameters and the recurrent weight of neural network on - line dynamically on the condition of variety of system parameter and the impact of outside uncertainty factors

    模擬結果表明，當系統參數動態變化或受到外部不確定因素影響時，利用神經網路來在線調整網路的隸屬函數參數以及神經網路遞歸權值，使系統具有良好的動靜態性能。
  12. Design of on - line learning based error back propagation algorithm in simulation servo system

    基於在線學習誤差反傳演算法的模擬伺服系統設計
  13. Research on water operation simulation system in central line of south - to - north water diversion project

    南水北調中線工程水量調度模擬系統研究
  14. With these algorithms above, a simulation test has been taken to the main steam temperature control of boiler by means of generalized predictive control using takagi - sugeno fuzzy models. the test shows that t - s model of the nonlinear system can be successfully identified on line and the nonlinear main stream temperature can be controlled successfully using predictive algorithm

    並把這種基於t - s模型的預測控制演算法應用在某電廠的主汽溫的升負荷過程的控制中，模擬表明本演算法能夠很好地通過在線非線性t - s模型的辨識從而實現對于具有非線性特性的主汽溫對象的預測控制。
  15. Based on compensation control thought, through using neural network pid controller as compensation tache of traditional pid controller, a kind of hybrid pid controller is designed. combined with neural network, self - tuning control can realized better control over non - linear system. utilizing the advantages of fuzzy control and neural network control, a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line. at last, the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized. the simulation results show that it has better performance than traditional pid controller. at the same time, it provides some reference for the control of other similar systems

    在此基礎上，基於補償控制思想，利用神經pid對傳統pid進行補償，設計了一種混合pid控制器；神經網路與自校正控制的結合，使得自校正方法能對非線性系統實現比較理想的控制效果；利用模糊控制與神經網路控制各自的優點，提出了一種基於快速bp演算法的神經網路自適應模糊控制器，能夠對系統進行在線控制。最後將混合pid控制應用於h型鋼連軋機張力系統中，實現微張力控制，模擬結果說明其較傳統pid具有更好的性能，同時也為其它類似系統的控制提供一些參考。
  16. Fifthly, by adopt new matrix coordinate system means, found a tricycle wmr ' s kinematic model, especially the investigation in the kinematically modeling of steered wheel and non - steered wheel. at the same time, the dynamic modeling of robot ' s playing football motion, consummate mobile robot ' s system. by the comparison with the two - wheeled differential drive structure on line or circular track ' s simulation experiment result, illustrate the tricycle wmr ' s superiority more and more

    第五，採用新型的矩陣坐標系方法，建立了三輪式機器人的動力學模型，尤其是在導向輪和非導向輪的動力學建模方面進行了深入的研究；同時，對機器人踢足球的運動進行動態建模，進一步完善了移動機器人體系。
  17. 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網路與線性arx模型相結合的集成模型，給出了其辨識訓練方法.以此模型為基礎，提出了一種多變量非線性預測控制演算法.它利用線性預測控制的成果，得到一解析式的非線性優化控制輸入，避免了通常非線性模型（包括普通人工神經網路模型）預測控制所需的在線數值尋優計算，節約了在線計算時間，提高了演算法的可靠性和穩定性.進一步給出了在cstr反應器上的模擬實驗結果
  18. In this paper, the auv is the object of the research. in order to overcome the negative effects of the non - linear part of kinematic model, sea current and wave during motion control, a new type of neural network : fuzzy cerebellar model arithmetic controller ( fcmac ), together with an on - line learning scheme based on the lyapunov stability theory, has been adopted in designing the new motion control system. the simulation results have been compared with those generated by a classic pid controller

    本文以auv為對象，針對其運動控制中模型非線性部分對控制性能影響較大及有海流、海浪等外界干擾等特點，採用一種新型神經網路：模糊小腦模型關節控制器（ fuzzycerebellarmodelarithmeticcontroller ）並結合基於李雅普諾夫原理而推導出的學習演算法設計auv的運動控制系統，並與傳統pid控制器進行了模擬比較。
  19. Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved. the simulation results show that the fuzzy - smith control method has some excellent performances, which is suitable for systems with deadtime - varying parameters. considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules, an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper, which is used for modifying the fuzzy control query table on - line

    本文分析了模糊控制、神經網路和常規控制演算法存在的不足，研究了如何將各演算法的優勢互補，相互融合，形成復合的自適應智能控制演算法；針對大時滯系統的特點研究了fuzzy - smith控制演算法，並在前人基礎上做出了一定的改進研究，進一步提高了fuzzy - smith控制演算法的性能；又將常規pid與神經網路有機結合，研究了單神經元pid控制演算法：針對常規模糊控制不可調整模糊控制規則的局限，本文利用單神經元的自適應、自學習能力對模糊規則庫進行了間接在線自調整。
  20. On - line system simulation

    在線系統模擬
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