隨機最優控制 的英文怎麼說

中文拼音 [suíjīzuìyōukòngzhì]
隨機最優控制 英文
stochastic optimal control
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 控 : 動詞1 （告發;控告） accuse; charge 2 （控制） control; dominate 3 （使容器口兒朝下 讓裏面的液體慢...
  • 制 : Ⅰ動詞1 （製造） make; manufacture 2 （擬訂; 規定） draw up; establish 3 （用強力約束; 限定; 管束...
  • 隨機 : random stochasticrandom
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
  1. Research on hybrid type of stochastic control model

    混合型隨機模型的最優控制策略研究
  2. Optimal singular control problem on stochastic harvesting model for running cost

    考慮運轉費用的奇異隨機收獲模型的最優控制問題
  3. In chapter 2, using correlated conclusions of the optimal control, we formulate a stochastic control model about the optimal producing scheme, which includes a state equation, a payoff equation and so on

    第二章，利用最優控制的相關結論，建立最優生產計劃的隨機控制模型，此模型包括狀態方程、收益函數等。
  4. Markov decision process, in short mdp, is also called sequential stochastic optimization stochastic optimum control. the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision

    馬爾可夫決策過程（ markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優化、隨機最優控制、受控的馬爾可夫過程或隨機動態規劃）是研究隨機序貫決策的問題的理論。
  5. Stochastic optimal control for adjacent high - rise structures

    鄰接高聳結構的隨機最優控制
  6. In this paper, the problem of stochastic optimal control with uncertain terminating time is discussed

    摘要文章研究了終時不確定的隨機最優控制問題。
  7. Research on the stochastic optimal control of inventory integrating remanufacturing and manufacturing system for the market

    製造系統集成庫存隨機最優控制研究
  8. Stochastic optimal control is an important content of the optimization theory for uncertain systems too

    隨機最優控制也是隨機不確定系統優化的一個重要內容。
  9. The mathematical models are derived and calculated based on random optimal control theory

    基於隨機最優控制理論，建立了懸架系統的數學模型，並進行了分析、計算。
  10. An adaptive rate control scheme based on the theory of stochastic optimal control was proposed. it can balance real - time transmission with continuity of video

    在隨機最優控制理論的基礎上，提出了一種自適應的碼率控制演算法。
  11. This paper utilizes stochastic optimal control theory, ito formula in stochastic analysis and nonlinear filter technique to maximize the expected utility from the terminal wealth

    本文運用隨機最優控制理論、隨機分析中的it （ ? ）公式及非線性濾波技術，研究投資者極大化終止時刻期望效用的最優投資策略問題。
  12. Based on the hypothesis that the input for earthquakes is white noise and using the principle of random optimal control, the features of vibration control and the effects of parameters such as isolation degree, damping and ground site on them were analyzed

    假定地震動輸入為白噪聲，運用隨機最優控制原理，分析了組合隔震結構振動的控制性能以及隔震度、阻尼和場地等參數的影響。
  13. By use of transform, the problem of stochastic optimal control with uncertain terminating time is transformed into that with determinate terminating time ; then the problem is solved using the theory of stochastic optimal control with determinate terminating time

    通過變換，將終時不確定的隨機最優控制問題轉化為終時確定的隨機最優控制問題；然後，利用終時確定的隨機最優控制理論來求解。
  14. In order to assure that the stress and strain state of structure is secure, the author analyses respectively the objective functions of the reasonable finished state and buckle - cable adjusted phase ; thus, the optimized model based on fga is framed. finally according to the example, the computation datum are compared with the iterative forward analysis method and the optimal control theory. the result shows that this method can be used conveniently and meet the construction and design precision

    為了滿足大跨度鋼管混凝土拱橋施工的安全性與成橋預期的內力狀態和拱肋線形，本文結合工程實例，分別對合理成橋狀態和扣索索長調整的目標函數的確定進行了分析，將一組多變量、多約束的最小化問題無約束化，從而建立起適合於該問題的遺傳演算法優化模型，將其計算結果分別與迭代前進法和隨機最優控制理論進行了比較；結果表明，採用該方法編制的基於結構計算的遺傳優化程序操作靈活，能很好的滿足施工和設計要求。
  15. Then, the dynamical programming equations and their associated boundary and final time conditions for the problems of maximization of reliability and of maximization of mean first - passage time are formulated. the optimal control laws are " bang - bang " controls which are derived from the dynamical programming equations and the control constraints

    然後利用隨機平均法及隨機動態規劃原理導出了以最大可靠性為目標的隨機最優控制策略，說明了當控制力為有界函數時，隨機最優控制即是bang - bang控制。
  16. The real - time accurate parameters are then transferred to the stochastic optimal controller by the self - learning system to control the attitude of satellites

    學習系統將干擾白噪聲參數的精確估計值傳送至隨機最優控制器以獲得精度優良的控制效果，通過模擬研究表明了方法的有效性。
  17. The objective function for the stochastic optimal control can be classified by the discounted cost problem and average expectation cost problem etc. the expression of specific objective function often depends its actual application problems, thus there are many types of theory study under the several objective functions in the usual stochastic optimal control, but the study methods are very similar

    具體的目標函數表達形式，往往根據實際應用問題的類型而變化，因而傳統的隨機最優控制問題出現了在多種目標函數下的理論研究形式，然而他們的研究手法和表現形式卻非常相似，是否能在一個較為統一的框架下表現它們，則成了一些研究工作者的追求目標。
  18. The problem has been studied from two sides, firstly, from the viewpoint of applicability, based on the development strategic objectives of the oil company, with the aim to unify the exploration and extraction decisions of the resources in an integrated framework, and integrate the macro economic and technical objectives with micro economic and technical models of an oil well, an integrated non - linear dynamic optimal control model has been constructed, the objective is the benefit maximum of the exploration and extraction of the resources, and the optimal strategies are obtained by changing the problem into a non - linear mathematical programming problem, on the other hand, from the more macro level, based on the analysis of the characteristics of the exploration and extraction activities of oil and gas resources, a conclusion is easily deduced that the procedure is full of randomicity, then discovering procedure of oil deposit is proved to be a poisson process, and the reserves process is a supermartingale process, so the model of exploration discovery rate and the reserves model could be constructed

    本文從兩個側面對此問題進行了研究，首先從實用性出發，以公司層次的戰略性規劃目標為基礎，將勘探階段與開發階段的工程技術及經濟方面的決策整合在一個模型框架內，同時將宏觀層次的經濟技術目標與單個油氣井生產的微觀技術經濟模型相結合，以油氣資源勘探與開發的經營效益最大化為目標，建立了一個非線性確定型綜合動態優化模型，通過將原非線性最優控制問題轉化為一非線性數學規劃問題進行了求解。其次從相對更宏觀的層次上，通過對油氣資源勘探與開發的特點分析，認為具有很強的隨機性，證明了勘探活動發現油氣藏的過程為一泊松過程，所發現的油氣藏儲量為一上鞅過程，在此基礎上，建立了油氣藏勘探發現率模型及儲量模型，在油氣價格服從幾何布朗運動條件下，以油氣開採收益最大化為目標，建立了一個油氣資源勘探與開發的隨機最優控制模型，採用動態規劃方法得到了值函數的hjb方程，並針對方程的特點，以及方程及其變量所對應的經濟學意義，對最優策略的求解進行了一些討論。
  19. It is not trivial generalization for the usual theory of the stochastic optimal control to study the stochastic optimal control problems. the above problems motivated the author to : ( 1 ) conquer the lack of the indirect computing methods for the uncertain linear programming to seek the direct computing method ; ( 2 ) conquer the singularity of stochastic or fuzzy factor in the usual uncertain programming models to give the hybrid programming models which contains stochastic and fuzzy parameters ; ( 3 ) further strengthen the applications of bsde in the stochastic optimal control to extend the related theories of the usual stochastic optimal control, and to enlarge the applied field

    以上問題和想法促使作者進行以下研究： （ 1 ）克服不確定線性規劃的計算需要轉化成等價的確定性（或清晰）數學規劃進行計算的不足，尋求直接計算的方法； （ 2 ）克服傳統不確定規劃模型中不確定因素的單一性，提出隨機和模糊混合的不確定規劃模型； （ 3 ）進一步強化倒向隨機微分方程在隨機不確定系統最優控制問題中的應用，實質性地推廣傳統的隨機最優控制相關理論，擴大隨機最優控制的應用領域，特別是在金融工作中的廣泛應用。
  20. Under the analytical framework of the principal - agent theory and the transaction cost theory, this thesis will apply stochastic optimal control model to analyze the agent ' s action and welfare under uncertainty and a share contract

    本文擬在委託代理理論和交易成本理論的框架下用經濟學中廣泛運用的隨機最優控制理論，對不確定性與分成制契約條件下的代理人的行為選擇及福利水平作一個比較深入的研究。
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