最優線性系統 的英文怎麼說

中文拼音 [zuìyōuxiànxìngxìtǒng]
最優線性系統 英文
optimum linear system
  • 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
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 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 ...
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  • 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. By use of - perturbation method with spatial discretization, the hydraulic transient system controlled by quasilinear partial differential equation was converted to a time - continuous linear system, so that the inverse problem of hydraulic transients under limited pressure could be sol ed with the optimal control theory for time - continuous systems

    採用-攝動法並經過空間離散，將由擬線性偏微分方程式控制制的有壓瞬變流系統轉化為時間連續線性系統，從而使有壓瞬變流限壓控制反問題能應用時間連續系統最優控制理論來求解。
  2. Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense, meanwhile extended kalman filter is a sub - optimal filter algorithm, which derived from the linearization of nonlinear system using taylor expansion. while the non - linearity of the system is not extreme strong, ekf can achieve approximately optimal filter effect

    Kf是最小均方意義下的最優濾波演算法， ekf則是利用一階泰勒展開將非線性系統線性化而得到的一種次優濾波演算法，在非線性不是特別嚴重的情況下， ekf有著近似最優的濾波效果。
  3. Firstly, based on backstepping and the supervisory control strategy, a robust adaptive fuzzy controller is designed for a class of nonlinear systems. the first type fuzzy logic system is used to approximate the unknown part of the process. the adaptive compensation term of the optimal approximation error is adopted

    本文首先針對一類不確定非線性系統，基於backstepping方法，利用監督控制，引入最優逼近誤差的自適應補償項，並利用型模糊邏輯系統逼近系統的未知部分，提出了一種魯棒自適應模糊控制器設計方案，運用李亞普諾夫第二方法，先證明了閉環模糊控制系統全狀態有界，再證明了跟蹤誤差收斂到零。
  4. Power bond graph is used to established the bond graph model of the lifting and dropping of hydraulic pile hammer and state space equation in the paper for hydraulic pile hammer is perplexing nonlinear system. in order to attain the graph that pressure, position, velocity, acceleration vary with time in the course of driving pile simulation procedure solving state space equation is designed on the basis of combining four - order runge - kutta method with predicator - corrector method, dynamic simulation of the hydraulic system is studied in matlab 6. 5. it is convenient to analyse dynamic characteristics of the hydraulic syste m, beneficial to the design and parameter optimization of the hydraulic system. in the final part of the paper, under detailed analysis of the control characteristics for double - acting hydraulic pile hammer with double cylinders, control system based on the programmable logic controllers founded on technology of modern compute is designed

    由於液壓打樁錘液壓系統是一個復雜的非線性系統，本文採用功率鍵合圖法建立液壓打樁錘上行、下降的鍵合圖模型和狀態空間方程，通過四階龍格?庫塔法和預估?校正法相結合編制了模擬程序對狀態空間方程求解，在matlab6 . 5中進行液壓系統的動態模擬，獲得液壓打樁錘運動過程中壓力、位移、速度、加速度等隨時間變化的曲線圖。此曲線圖方便了對液壓系統動態特性分析，為液壓系統的設計和參數優化提供了有益的借鑒。最後，在深入分析雙缸雙作用液壓打樁錘控制系統的功能要求后，採用了以現代計算機技術為基礎的新型工業控制裝置? plc可編程式控制制器，設計出了雙缸雙作用液壓打樁錘的電器控制系統。
  5. 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。
  6. The optimal preview control method of the linear system is studied

    本文對線性系統的最優預見控制方法進行了研究。
  7. The optimal control for linear generalized system based on target function of linear quadric form

    基於二次型性能指標的廣義線性系統的最優控制
  8. In this paper, we used the characteristics and introduced the delta operator to linear quadratic following control system, the results show that when sampling period is approaching to zero the results of the discrete - time system is approaching the continuous - time system, and the design of the following controller is completed by linear riccati equation

    本文利用上面導出的delta運算元性質，把delta運算元應用於二次型跟蹤系統當中，得出了采樣周期趨近於零時delta域內的最優解趨近於相應的連續域最優解，並指出了離散域的輸出跟蹤器的設計可用連續riccati方程得到近似解。本文把delta運算元引入線性系統的廳。
  9. Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion

    摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展，包括：最一般條件下全局最優的多傳感器分散式統計判決；傳感器觀測數據或局部估計的最優維數壓縮；一般條件下最優線性無偏估計融合公式及其有效演算法；傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合；容錯條件下的區間估計融合。
  10. Two - level algorithm of solving discrete bilinear system optimal control

    求解離散雙線性系統最優控制的兩級演算法
  11. The optimal control problem is considered for bilinear systems affected by external persistent disturbances

    摘要研究具有外界持續擾動作用下雙線性系統的最優控制問題。
  12. By using the approach, the original optimal control problem of bilinear systems with disturbances is transformed into a sequence of nonhomogeneous linear two - point boundary value ( tpbv ) problems

    利用該演算法可將在擾動作用下雙線性系統的最優控制問題轉化為求解一組線性非齊次兩點邊值序列問題。
  13. Based on the principle of optimal linear fusion, and a conclusion is drawn that " the more measurements are used, the higher accuracy is obtained ". this result can play an important role in the accuracy design of multi - sensor system. the infonnation orthogonalization theorem and the information magnitude decomposition theorem are proposed and proved

    根據信息最優線性融合原理，得出「利用的信息越多，最優融合估計的信息量越大、精度越高」的結論，該結論對多傳感器系統精度設計具有重要的指導意義。
  14. In order to obtain an optimal estimate of the tilt angle and angle velocity, an indirect kalman filter configuration combining a rate gyroscope sensor and an accelerometer is implemented. because of the extreme nonlinearity of the two - wheeled self - balancing robot, application feasibility of nonlinear system control strategy based on linear approximation method, exact linearization and intelligent control have been investigated. according to robustness, balancing performance and environment adaptability, robust tracking control, linear quadratic regulator and fuzzy model reference learning control are implemented to the velocity controller

    針對具有強非線性的前進子系統，論證了基於近似線性化、精確線性化及智能控制的非線性系統控制策略的應用可行性，據此按照不同性能要求設計了三種前進速度控制器:漸近跟蹤魯棒調節器簡單精確，具有良好的干擾抑制能力;二次型最優跟蹤控制器，在耗能最小的條件下，大大提高系統的平衡能力;而基於動態聚焦學習的模糊模型參考學習控制則兼具平衡性能好、環境適應性強、精度高及魯棒性好的優點。
  15. Optimal control for discrete - time singular system

    離散廣義線性系統的最優控制
  16. Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface

    現代控制工程中的系統多表現為非線性、時變和不確定性，採用傳統的建模方法比較困難，或者根本無法實現，在這種情況下，要實現有效的控制，必須採用模型辨識的方法來獲取對象的近似模型，並加以控制，目前用於系統辨識的模型種類很多，模糊模型是其中的一種，它隨著模糊控制的發展而被人提出，模糊模型具有萬能逼近和強非線性的特點，比較適合於描述復雜非線性系統，為了解決模糊模型在輸入變量較多時規則數膨脹的問題，文中引入遞階型模糊模型，並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法，它具有隱含并行性和全局最優化的能力，並且對尋優對象的要求比較低，在工程應用和科學研究中，得到了廣泛的應用，本文將遺傳演算法引入模糊模型的辨識，取得了很好的效果。
  17. In chapter 5, considering an ac / dc system that includes two dc lines. based on feedback linearization in the nonlinear systems and linear quadratic optimization control theory in the linear system, two new nonlinear additional controllers are designed in the same time

    第五章針對包含兩條直流傳輸線路的交直流互聯系統，採用狀態反饋精確線性化方法與線性系統的二次最優控制相結合的方法，同時設計了兩條直流線路的非線性附加控制器。
  18. General linear quadratic optimal control for periodically time - varying linear systems

    周期時變線性系統的一般線性二次型最優控制
  19. Feedback optimal solution to output transfer problem of linear system

    線性系統最優輸出轉移問題的反饋解
  20. " multi - step predictive sequence trajectory tree ", which respects the so - called " casual constraints ", is used to formulate the online optimization problem. and a framework is presented for a novel min - max robust model predictive control approach cf constrained linear time - varying systems with polytopic uncertainty

    將「因果約束」引入凸多面體不確定線性系統，按照符合「因果約束」的「多步預測序列樹」設計在線優化問題，得到一種新型的基於閉環優化的最小?最大魯棒預測控制方法的框架。
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