optimization and optimal control 中文意思是什麼

optimization and optimal control 解釋
優化計算與最化控制
  • optimization : n. 最佳化，最優化。
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • optimal : adj. 最適宜的；最理想的；最好的 （opp. pessimal）。
  • control : n 1 支配，管理，管制，統制，控制；監督。2 抑制（力）；壓制，節制，拘束；【農業】防治。3 檢查；核...
  1. In recent years, the water - saving and control irrigation technique of rice has diverted from plot experimental and demonstration to lare scale. and has got remarkable economic and social benefits. amed at the characteristics of this irrigation area, optimal selection for water - saving techniques of rice, deciding the amout of leaching water and irrigation modles, investigating the adaptability of the water - saving and control irrigation technique in saline land. studying the increase in production mechanism of the technique are important to extend the technique, to better and develop saline land as well as slick spots. according to the results of field experiments, optimization study was conducted on the water - saving irrigation technique of rice in saline land, the effects of different water - saving irrigation techniques on the physiological indexes and yield of rice were systematically analyzed. by using mutiplepurpose fuzzy optimization method, better. water - saving irrigation technique was selector out, that is. the control irrigation technique in rice. the mechanism of it was analyzed from the aspect of the physiological and ecological saving water of rice to provide the implemental process and technical point ; throgh the quantitive analysis and comparision on control irrigation and control class ( flood irrigation ), high production and quality mechanism of the technique was analyzed in terms of physiology indexes of rice, the variation of soil moisture, the pest resistance and the lodge resistance, the change of soil temperature in paddy fields. the yield constitutive factors, the quality of rice and so on. in saline land. control irrigation and intermittent leaching modles were adopted to validate the adaptability of the technique in irrigation of rice in saline land, to analyze rice ' s physiological - ecological indexes and the change of soil salt content under the conditions of control irrigation leaching of rice and and to provide control irrigation and combined modle of intermittent leaching to adapt to different conditions

    本文從試驗及試驗資料入手，取得以下主要成果和結論：對鹽堿地水稻節水灌溉技術進行優化研究，系統地分析了不同節水灌溉技術對水稻生理指標及產量的影響，採用了多目標模糊優化的方法，對灌水技術進行綜合評判，優選了節水灌溉技術，論證該地區宜採用水稻控制灌溉技術；闡述控灌技術通過調節和控制水稻的需水規律，降低水稻高產情況下的無效水量消耗，從水稻生理、生態節水兩方面分析了控灌技術節水機理，針對性地總結出水稻各生育期實施節水控灌技術的步驟及技術要點；通過控灌與淹灌的定量對照比較，從根系、莖蘗、冠層葉片及綠葉動態到株高，土壤水分變化，抗病蟲害、抗倒伏能力，稻田土溫變化，產量構成因素及稻米品質等諸多方面進行動態比較，分析控灌技術高產優質機理；在鹽堿稻地採用控制灌溉+間歇淋洗模式，跟蹤測試田間水鹽變化狀況，驗證控制灌溉技術在鹽堿地區水稻灌溉中應用的適應性，通過分析水稻控制灌溉淋洗條件下水稻生理生態指標，提出優化控制灌溉+間歇淋洗組合模式，為進一步在高礦化度地區試驗水稻控灌技術奠定基礎。
  2. Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming

    在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。
  3. The work principle of dual stator - winding induction generator system, and the researches on practical application of dual stator - winding generator system are analyzed in detail. aimed at the work condition of wide rotor speed and optimization of static reactive power generator ’ s volume, the performance of dynamic state and static state and optimal control of high - voltage dc generator system based on dual stator - winding induction generator, are studied in this paper. these researches not only achieve the work characteristic of dual stator - winding induction generator system, but also set up the foundation of optimal design of dual stator - winding induction generator and engineering realization of dual stator - winding induction generator system used in wind generating

    本文闡述了定子雙繞組發電機的基本工作原理，基於matlab軟體建立了定子雙繞組感應電機發電系統的模型，並在此基礎上詳細分析了定子雙繞組感應電機發電系統的工作機理、影響兩套定子繞組容量比的因素等，從而摸清了該系統的特性，尤其是定子雙繞組感應電機高壓直流發電系統在變轉速、變負載下工作的特性，從而為該系統的工程實現奠定了重要的理論基礎。
  4. Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,

    具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象，在闡述了曝氣過程式控制制參數選取可行性的基礎上，建立了以溶解氧濃度do和活性污泥排放量qw為控制變量，以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論，在現有關于污水處理最優控制問題研究的基礎上，建立了有約束條件多變量能耗最小數學模型，該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件，曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化，並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元，應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解，並進行模擬實驗驗證。
  5. Graphical user interfaces are developed to be convenient for implementing of parameterized model and debugging of program parameters. program of optimization based on ga is designed to optimize obturating performance of the obturator of the breech mechanism, further, the effect of control parameters of ga and friction factor on the optimal structure is studied

    開發了實施參數化建模和程序參數調試的界面，編制了遺傳演算法優化程序，對炮閂閉氣結構進行了閉氣性能優化，並研究了遺傳演算法運行的控制參數對優化結果的影響以及摩擦系數對最優結構形式的影響。
  6. If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously

    燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程，傳統的基於對象精確解析模型的優化策略難以奏效，因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法，該演算法不要求對象的精確模型，其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫，充分利用了燒結生產過程積累的生產數據所包含的信息，取得了不錯的效果。
  7. A full mathematical model of optimal flow pattern design withengineering constraints was put forward, based on modern optimal control theory. an optimal flow pattern design was presented for optimizing meridional channel of axial flow turbine. according to integral optimization of turbine stages, a full physical model and mathematical expression were put forward for proposition of optimal flow pattern, including all performance parameters in turbine stages. this problem was further recast into a typical form control to maximize specific performance index such as work or efficiency of stage with given initial state, fixed terminal condition and constraints for part of state terminal variables. the program was also worked out according penalty function method and conjugate gradient method. the optimal distribution of c1ur1 ( r1 ) was obtained according to constraint conditions and maximized objective function

    把近代最優控制論方法引入軸流透平葉片的設計，在優化的軸流透平子午通道內，建立包括透平級內所有性能參量的最優流型命題的完整的物理模型及其數學表達式，並歸化為一個在給定初始狀態、自變量終端固定、部分狀態變量終端受有約束的條件下，使級的某一性能指標（如級的功率）達到最優的最優控制問題，應用「代價函數法」及「共軛梯度法」編制計算程序，計算得到符合給定約束條件、並使目標函數取極值的最優環量分佈，結果是令人滿意的。
  8. According to the requirement of modern power industry, this paper proposes a new optimal control method for the boiler combustion system, based on the study of neural network and optimization theory

    本文以火電廠鍋爐燃燒過程為研究對象，針對當前火電廠鍋爐燃燒控制系統的新要求，在研究rbf神經網路和優化理論的基礎上，對rbf神經網路在電站鍋爐燃燒系統建模與優化中的應用進行了研究。
  9. The method employs a recently developed direct optimization technique that uses a piecewise polynomial representation for the state and controls, thus converting the optimal control problem into a nonlinear programming problem. the method is remarkably robust to initial guesses, which is better than traditional method

    這種方法利用了近些年來發展起來的直接優化技術，用分段多項式來表示整個軌道的狀態和控制向量，將最優控制問題轉化為非線性規劃問題來研究。
  10. The renewal theorem approach is extended to construct the cost model for our proposed control charts, and optimization method is used to determine the optimal design parameters of the proposed control charts

    我們提出以更新理論方法推導出製程成本模式而且以最適化方法決定管制圖之最適設計參數值。
  11. Based on modern optimization theory and optimal control theory, this dissertation studies some questions as follows : 1. the optimization model of parameter identification of three - dimensional geologic history numerical simulation, algorithm and its application geologic history numerical simulation is a basic content of basin numerical simulation, and the porosity is the major parameter in the evolution and development process of oil - bearing basin. according to the sedimentation and burial mechanism, the physical and chemical principles of oil geology, the mudstone porosity ' s non - linear parabolic partial differential equation has been established

    本文應用現代最優化及最優控制理論，對如下一些問題進行了研究： 1 、三維地史數值模擬的參數辨識優化模型、演算法及應用地史模擬是盆地數值模擬的一個基礎性的研究內容，地層孔隙度是含油氣盆地地史演化發育過程中的重要參數，根據地層沉積埋藏機理和石油地質的物理化學原理，通過引入數學物理方程概念，建立了泥巖三維孔隙度場方程，根據問題的特點，給出了方程的定解條件，對方程的動邊界也給出了處理方法，並且證明了解的存在性與惟一性，在此基礎上建立了以當今實測數據為擬合準則的三維地史數值模擬的參數辨識優化模型，這是一個含有二階偏微分方程約束的泛函極值問題。
  12. This graduate class will investigate the algorithms that make these animations possible : keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data - driven methods

    這堂研究所的課程將會檢視製造出這些動畫的演演算法，不論是使用主框架；反向運動；實體模擬；最佳化；最佳控制；動作擷取；及資料導向方法等。
  13. The problem is then fed to a nonlinear programming routine to solve for all parameters. the flight dynamics model with yawing motion of uh - 60a is given, scale factors of state variables and control variables are applied based on the consideration of algorithm convergence. then, the optimization of trajectories is expressed as optimal control problem with a performance index constrained by helicopter performance limits, faa regulation and so on

    首先，建立帶偏航運動的直升機點質量模型，然後對狀態變量和控制變量進行無量綱處理，因為狀態變量和控制變量量值相差較大，這使得優化演算法收斂效果變差，所以需要選擇適當的縮放因子，最後把直升機單臺發動機停車后的飛行軌跡表示成一個最優控制問題，即在考慮直升機性能限制和far規范后，指定一個優化性能指標，選擇合適的路徑約束，然後再解最優控制問題。
  14. In the computational methods of tpbvp, in order to reduce some difficulties involved in solving a tpbvp via adjoint variables, we discuss a direct method in which state and control variables are indirectly parameterized, the method employs a recently developed direct optimization technique that uses a piecewise polynomial representation for the state and control variables, thus converting the optimal control problem into a nonlinear programming problem, which can be solved numerically. it makes the initial iterative variable more easy to be determined

    在數值解法中，為了減少解決兩點邊值問題共軛變量帶來的困難，主要討論了將狀態變量和控制變量進行參數化的一種直接方法，這種方法採用了近段發展起來的使用分段的多項式來代替狀態和控制變量的直接優化方法，然後最優控制問題就轉化成可以用數值方法解決的非線性規劃問題，使得迭代初值更加容易選取。
  15. The stochastic structure and stochastic intelligent truss structure are taken as research object in this paper. the analytical model and method of the structural dynamic characteristic are investigated. when the applied forces are random excitation or random process ( stationary random process or non - stationary random process ) excitation, the structural dynamic response, the active vibration control for the intelligent structure, the optimal placement of the sensor and the actuator and the optimization of the feedback gains of the closed loop control system for the intelligent structure, and the effects of the structural parameters on the active vibration control et al are all studied systemically

    本文以隨機結構和隨機智能桁架結構為對象，對結構動力特性分析模型與求解方法進行了研究；對結構在隨機力或隨機過程（平穩隨機過程或非平穩隨機過程）激勵下，結構的動力響應、結構的振動主動控制、智能結構中作動和傳感元件配置位置與閉環控制系統增益優化、結構參數對振動主動控制效果的影響等問題開展了全面而系統的研究。
  16. A study on modeling, scheduling and optimal control problems for a class of hybrid manufacturing systems is investigated. in this framework, the discrete entities have a state characterized by a temporal component whose evolution is described by event - driven dynamics and a physical component whose evolution is described by continuous time - driven dynamics, thus it is a typical hybrid system. not only the optimal control for manufacturing process like that discussed in many references but also the optimal machining sequence are considered in this paper. the whole problem is solved by a two - level optimization method : at the inner loop, for any given machining sequence of the jobs, the optimal control for manufacturing process is considered ; while at the outer level, an improved genetic algorithm is used to decide the optimal machining sequence of a batch of jobs to be processed. finally, some examples are given to illustrate the validity of the algorithm

    研究了一類單階段混合製造系統的建模、分析與調度問題，這類系統既包含離散事件動態，也包含連續時間動態，前者用排隊網路描述，後者用微分方程描述.不僅考慮了a這類系統的最優控制問題，而且考慮了工件進入生產線的最優時間，並用一個復雜的優化模型描述，同時給出了一個兩層優化方法，內層給出對給定工件序列的最優控制，而外層用一改進的遺傳演算法求解工件進入生產線的最優時間序列.若干模擬實例說明了演算法的有效性
  17. Second, the benchmark is moved to the acquired optimal values in the subsequent iterations and the searching space gets contracted a1 the same time ; hence the optimization performance index and control profile can achieve the best value gradually through iterations

    然後在隨后的迭代過程中將基準移到剛解得的最優值處，同時收縮控制變量的搜索域，使優化性能指標和控制軌線在迭代過程中不斷趨于最優解。
  18. Detaildiscussion and partition of it is given according to the research contellts, methods, tfor spanand objective function etc. the method applied here, genetic algorithin ( ga ) for reactivepower planning problem and interior point method ( ipm ) for quasi real time voltage / reactivepower control are separate surnmarized fully and comprehensively hence, two aspects ofreactive power operating optimization, i. e. optimal reactive power compensation planning andquasi - real time voltage / reactive power control are studied in detail in this thesis withintelligent method, such as fully mathematic and expert system etc., integrated

    本文從無功優化問題的研究內容、研究方法、時間跨度和目標函數等方面進行了詳細的探討和劃分。在對本文採用的無功規劃優化的研究方法?遺傳演算法和無功/電壓控制的研究方法?原-對偶內點法進行綜述的基礎上，提出根據電力系統的特點、結合模糊數學和專家系統等智能方法對無功運行優化中的規劃優化和無功/電壓控制兩類問題進行理論和應用研究。
  19. This dissertation studies mainly the identification and the optimal control problem in parabolic pdes, including the existence of solutions of state equations and optimal solutions of the optimal control and the identification problems, optimality conditions, the relation between the state functions and the control functions ( identification parameters ), the algorithms of infinite - dimensional optimization problems deriving from the identification and the optimal control problem of distributed parameter system

    本文主要研究拋物型分佈參數系統辨識與最優控制問題，包括狀態方程解和辨識與最優控制問題最優解的存在性、最優性條件、狀態函數與控制函數（識別參數）之間的關系及求解基於辨識與最優控制問題而產生的無窮維最優化問題的演算法。
  20. The optimal control of uncertain piecewise linear systems is converted to the optimization of upper and lower bounds of the cost function

    摘要將不確定分段線性系統的最優控制問題轉化成最優控制性能上界的優化問題。
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