非確定性系統 的英文怎麼說

中文拼音 [fēiquèdìngxìngxìtǒng]
非確定性系統 英文
nondeterministic system
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 確 : 形容詞1. （符合事實; 真實） true; reliable; authentic 2. （堅固; 堅定） firm
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. In chapter one, we ' ve briefly introduced field bus, the advanced industrial control network. contrapose to the problems exsist in field bus, we ' ve discussed the application and status of industrial ethernet in chapter two. combined with the development of ethernet, in chapter three, we ' ve brought forward a kind of ethernet structure and a design project for ethernet controller, the key equipment in ethernet. we ' ve also analysed how to resolve the uncertainty of the traditional ethernet which affected its industrial application. in chapter four we ' ve talked about how to realize network management system based on snmp and web technology, which includes its structure, function and programming model. we ' ve discussed the technology of ethernet integrating with other network in chapter five, which consisted of both integrating with information network and control network. in the last chapter we ' ve analyzed the application project of ethernet in control field through practical case

    第三章結合以太網技術的發展提出了一種以太控制網路的體系結構和其中的關鍵設備? ?嵌入式以太網控制器的設計方案，還對傳統以太網中影響其在工業控制上應用的「非確定性」問題的解決辦法作了分析。第四章討論了基於snmp協議和web技術的網路管理系統的實現，包括結構、功能和編程模型。第五章討論了工業以太網和其他網路的集成技術，分為與信息網路和控制網路集成兩方面，最後一章通過實例來分析以太網在控制領域的應用方案。
  2. But in the real word, the programs we meet are in uncertain as well as certain, or intervenient, so in practice we need combine with gis and es ( engineer system ) and establish intelligent gis system ( egis )

    然而，在實際工作中，我們遇到的大量問題是既有確定性的，也有非確定性的，或介於二者之間。因此，實際應用領域要求專家系統技術（ es ）和地理信息系統技術結合起來，或統一於一體，建立智能型gis應用系統（ egis ） 。
  3. The dynamics of a tractor - implement combination were complex in the atrocious working environment and fluky work status. a lot of components were not assured. the system had an evident non - linearity problem about large inertial and response lag due to its machine and hydraulic structure

    拖拉機作業機組在作業過程中，作業環境比較惡劣，作業工況復雜多變，其動力學問題很復雜，不確定性成分較多，此外，機組的機液結構系統慣性較大，響應滯后等非線性問題突出。
  4. Second, adopting the linearity of oil film of the guide bearings, the transient response of the shafts is computed and analysis by integrating with willson method. because of the uncertain position of the shafts in the guide bearing, the model and solution method of nonlinear transient response of the shafts is discussed

    然後結合willson數值積分法，採用線性化油膜力，對機組軸系的線性瞬態響應進行了計算分析，根據機組軸系在瞬態響應中運動的不確定性，給出了由導軸承油膜力非線性所引起的主軸系統的非線性瞬態響應的建模及求解方法。
  5. 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
  6. The fractal and chaos theory are effective tools to study nonlinear system, quantifying the indeterminate nonlinear system, using aboard in the nature study, last years, many scholars study the capital market by that method, conquer the emh and the capital market theory ' s localization, inaugurate the new phase of the capi tal market study

    分形和混沌理論作為研究非線性系統的有效工具，可以把不確定的非線性系統數量化，在自然界的研究中已經得到了廣泛的應用，近年來，許多理論工作者用該方法用研究資本市場，克服了原來研究線性系統的emh和資本市場理論的局限性，開創了資本市場研究的新局面。
  7. The wastewater treatment system is one dynamic system of indeterminacy, time - variance, nonlinearity and posteriority. so it is difficult to create a precise mathematical model

    城鎮污水處理系統是一個具有不確定性、時變性、非線性、滯后性的動態系統，難于建立起精確的數學模型。
  8. In this paper, the robust output track control with the regulable parameter of non - linear control system is put foreword

    進行了具有可調參數的不確定非線性系統魯棒輸出跟蹤控制理論研究。
  9. A dynamic hierarchical description method for workflow is presented. the method provides a dynamic hierarchical way to define a workflow with non - determinate or dynamic factors. with this method, the main process defined at build - time can be reified and extended by the principle of the sub - organizations at either the build - time or the run - time. to ensure the consistency and integrity of the description, a series of constraint rules are also discussed to realize seamless integration between a decomposed process and its original one. this approach supports the description of unpredictable uncertainties, the dynamic hierarchy of business process, and the dynamic modification of enterprise organizations, and all of these improve the flexibility and extendability of workflow management systems dramatically

    為支持流程中不確定性因素和動態因素的描述，提出了柔性工作流的動態層次描述方法，使得流程設計人員在流程定義階段定義的主流程可以在任意時刻由子組織的負責人進行細化和擴充.為保證動態層次描述的正確性和完整性，討論了動態層次描述的一系列約束規則，確保分解后的流程與原有流程實現無縫銜接.該描述方法支持對不可預知的非確定性因素的描述，支持業務流程的動態層次描述以及組織機構的變化，極大地增加了工作流管理系統的柔性和可擴展性
  10. Whirlabout flat drive system adopts direct current electromotor and servo system is closed loop. the system carries out the response of adjusting shipboard 90 ? within 1. 8 seconds and orientates accurate position simultaneously ( the error is within ? ? )

    同時為實現1 . 8秒調舷90的響應，並調舷定位在精確方位上（誤差在20之內） ，伺服系統以線性? ?非線性系統來實現。
  11. _ _ _ _ uncertain factors of macroscale inversion analysis of displacements are summed up. associated inversion model containing non - deterministic factors is proposed, i. e. " deterministic inversion of differential equation + systematic optimization technique = non - deterministic inversion ". the systematic optimization technique includes direct operator optimization, direct numerical analysis optimization, measurement design optimization, measured data processing, in - ersion algorithm optimization, and inverse operator regularization, etc. when this associated inversion technique is used in displacements back analysis, uncertain factors can be processed quantitatively

    歸納了宏觀尺度位移反演分析的不確定性因素，提出了容納不確定性因素的位移反演分析的聯合反演模式，即「微分方程確定性反演+系統性優化技術=非確定性反演」的模式，並具體論述了聯合反演模式的系統性優化技術，包括正演運算元的優化、正演數值分析的優化、測量設計優化、觀測數據處理、反演演算法優化、反演運算元處理等六個優化方法。
  12. In the respect of neural networks control for non - linear and uncertain system, a review of some available control strategy is made. combining neural networks control and conventional control strategy supervised learning, no supervised learning and reinforcement learning neural networks self - studying and adaptive control systems for ship course control are proposed. the thesis studies particularly their characteristics

    在非線性和不確定性系統的神經網路控制方面，論文總結了一些現有的神經網路自學習控制系統，然後將神經網路和常規控制（例如pid控制、自適應控制、內模控制等）結合起來，根據船舶操縱的特點，詳細研究和分析了有監督學習、無監督學習和再勵學習的船舶航向神經網路自學習型自適應控制系統。
  13. A robust self - adaptive controller on non - linear definite systems

    非線性確定性系統的魯棒自適應控制器
  14. Nondeterminisitic control system

    非確定性控制系統
  15. The five section : the cmac neural network will approach any complicated nonlinear relationship sufficiently. the network could study some unknown systems

    五、 cmac神經網路可以充分逼近任意復雜的非線性關系，可學習和適應不知道或不確定的系統。
  16. Thus the non - deterministic methods such as the information theory, time - space series and complexity are used to analyze, pick up and integrate the geological, geochemical, geopgysical and remote sensing information. at the same time, synthesis mineral resource information analysis and predication system ( smr1aps ) has been written

    因而本文結合高松礦田實際情況，對信息論、時空序列、復雜性等非確定性分析方法進行了發展，並應用於地質、物探、化探、遙感信息的分析、提取和綜合中，最後編制了綜合礦產資源信息分析與預測系統。
  17. 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。
  18. Observer - based output - feedback stabilization control design for a class of nonlinear uncertain systems

    一類非線性不確定性系統基於狀態觀測器的輸出反饋鎮定控制設計
  19. The output - feedback stabilization control problem is investigated for a class of nonlinear uncertain systems

    摘要研究了一類非線性不確定性系統的輸出反饋鎮定控制問題。
  20. The linear dynamic subsystem and nonlinear static subsystem of hammerstein model are obtained after the identification, thus the nonlinear dynamic system is affirmed

    辨識后得到hammerstein模型的動態線性環節和靜態非線性環節，確定了系統的動態非線性。
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