線性部分 的英文怎麼說
中文拼音 [xiànxìngbùfēn]
線性部分
英文
linear segment- 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 ...
- 部 : Ⅰ名詞1 (部分; 部位) part; section; division; region 2 (部門; 機關或組織單位的名稱) unit; mini...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 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...
- 部分 : (整體中的局部或個體) part; section; portion
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In chapter 2, we discuss the problem of the relationship between the solution of non - homogeneous linear differential and small function. in chapter 3, we investigated the relationship between exponent of convergence to zero - sequence of the solution of certain homogeneous linear differential equation f ( k ) + a ( z ) f = 0 and the order of growth of a ( z )
其中第二部分討論了非齊次線性微分方程解取小函數的收斂指數,第三部分研究了齊次線性微分方程f ~ ( k ) + a ( z ) f = 0的解的零點收斂指數與a ( z )的級的關系A counter with timing fiducial oscillator acts as a frequency multiplier, and the count value in the prior period is taken as the reference for the current period to give the decimal part of a signal period
該方法利用帶基準時基的數字計數器實現周期內線性細分,當前周期信號將前一整周期的倍頻數作為參考構成信號周期的小數部分。It consists of an indirect adaptive fuzzy controller, which is constructed by modeling the unknown part of system, and adaptive law given by using lyapunov synthesis approach
該方法利用模糊邏輯系統來逼近未知非線性部分。在把逼近誤差看作系統干擾的情況下,給出了模糊系統參數基於lyapunov穩定的基礎上的自適應律。In the second part, when a four - dimensional smooth system has two distinct pairs of purely imaginvalues at the equilibrium y = 0, the 5 - order normal form is given
第二部分,通過復變量替換和比較系數,在平衡點y = 0處,當特徵根為兩對純虛根時,本文給出了一般的四維非線性微分方程的直到五次的規范形具體形式。Regarding the estimated performance of classifier at high specificities ( > 80 % ) in control eyes as measured by the partial area under the receiver - operating characteristic curve, the combination of both instruments is also superior to the individual instruments
以受試者工作特徵曲線下部分面積作為對照眼高專屬性( > 80 % )的分類性能評價,兩種儀器聯合篩查也優于單一儀器篩查。Soil springs are used around the pipe including vertical, lateral and axial soil springs to consider the interaction between the pipeline and the surrounding soil. the pipe segment near fault that usually suffers large deformation is modeled with a plastic shell element in order to consider the effect of local buckling and section deformation. to reduce the calculating time of the whole model, an equivalent spring proposed by the author is applied at two ends of the shell model
為了解決現有的殼單元方法需要大量計算機時的缺點,本論文首次從理論上把離斷層較遠管土之間相對變形較小的管子直線段部分的變形等效為一個非線性彈簧,將此等效邊界引入到有限元模型中,使得模型中的殼單元部分主要用來分析我們所感興趣的在斷層附近發生大變形的管段,從而達到節約計算時間的目的。This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system
本文對於一類含有外部擾動的多輸入多輸出( mimo )強非線性系統,提出了兩種新的魯棒自適應跟蹤控制方法,第一種利用了taylor近似的原理,在考慮了外部擾動的情況下,將mimo強非線性系統在理想平衡點處線性化,分別設計了兩個在線神經網路控制器,在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號,滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統,在保證整個系統魯棒穩定性的情況下,能夠跟蹤給定的指令信號;另一種方法是針對這類系統設計了3個在線神經網路,分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動,使得受控系統的輸出可以完全跟蹤給定輸入參考信號。As we know, many results on analytic solutions of iterative equations are obtained by constructing a majorant series. for technical reasons, in previous works an indeterminate constant a, as the eigenvalue of the linearization of unknown function at its fixed point, is required to be off the unit circle or lie on the circle with the diophantine condition
已有的許多關于迭代方程的解析解結果都是運用優級數法得到的,並要求一個作為未知函數在其不動點處的線性部分的特徵值的常數不在單位圓周上或者在單位圓周上但滿足diophantine條件。The main contents include three parts : in the first part, the minimum phase systems with unmodeled dynamics and disturbances in the input - output channel are studied
主要內容有三部分:第一部分研究已建模部分為最小相位,但系統線性部分參數未知的被控對象In fcmac ' s application in the vertical plane motion control of submarine, its output is used to compensate the effect of the non - linear part of the kinematic model, this function is realized by means of fcmac ' s on - line learning function. the rest of the model can be seen as a linear system, and is controlled by a pid controller
在潛艇垂直面運動控制的應用中, fcmac的輸出用於補償運動模型的非線性部分,這一功能通過fcmac的在線學習實現,經過補償后的潛艇控制系統可看作一個線性系統,它由一個pd控制器進行控制。In view of chaotic systems composed of a sum of a linear and nonlinear part, a compensative control method using radial basis function networks is proposed, the rbf networks trained can eliminate the nonlinear part of the chaotic system, the resulting system is dominated by the linear part
然後針對大多數混沌非線性系統由線性函數和非線性函數兩部分構成的特點,用rbf網路補償系統非線性部分,使原系統變成近似線性系統,再結合線性狀態反饋控制技術,對lorenz方程和duffing振子進行了非線性補償控制。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。The upper - left 22 portion of the matrix represents the linear part of the transformation, and the first two entries in the 3rd row represent the translation
矩陣左上角的22部分表示變換的線性部分,第3行中的前兩項表示平移。An autoregressive model is used to fit the linear part of series ; the neural network is used to fit the nonlinear part of series and to compensate the unknown disturbance
利用一個線性ar模型擬合時間序列的線性部分,用神經網路擬合時間序列的非線性部分並補償外界未知的擾動。An alternative to storing an affine transformation in a pair of matrices one for the linear part and one for the translation is to store the entire transformation in a 33 matrix
將仿射變換存儲於一對矩陣(一個用於線性部分,一個用於平移)的替換方案是將整個變換存儲於33矩陣。In order to improve the performance of ekf and ukf, the square soot unscented kalman filter ( sr - ukf ) with multiplicative noise is firstly investigated. considering the satellite nonlinear model, the sr - ukf attitude estimator is derived for gyroless satellite attitude estimation to render the state covariance with positive semi - definiteness and exceptional estimation accuracy
對于姿態估計,採用了rao - blackwellization技術將衛星模型狀態向量中的線性狀態部分(陀螺偏差)和非線性狀態部分(衛星姿態)分開處理,線性部分狀態可以由卡爾曼濾波( kf )估計得到,非線性部Based on the statere configuration system, an unknown input observer is presented for the prediction of time series. the approximate error of the ar model is regarded as the unknown - input of system
以實時擬合時間序列的線性ar模型作為時變系統的已知線性部分,將擬合誤差作為時變系統的未知輸入,實現了系統狀態的多步預測。The linear errors and high order errors of a sensor ( especially piezoresistive sensor ) can be corrected by using this system
該系統可以補償傳感器(特別是硅壓阻傳感器)溫度誤差的線性部分和高階非線性部分。The learning algorithm is only based on linear least squares, and no iterative learning processes are needed. according to the demand of model precision, the algorithm determines the best weights of network and the minimal number of hidden nodes automatically
該學習演算法能夠根據擬合精度要求,運用線性最小二乘法確定相應的最佳網路權值和線性部分的參數,並自動確定最佳的隱層節點數。Neural - based observer is integrated with synchronization control of chaotic systems. assuming that the chaotic systems can be separated into linear and nonlinear components, a neural - based observer is constructed by tracing the nonlinear components of the system using rbf ( radial basic function ) neural networks. the synchronization control of the system is accomplished
本文將神經網路觀測器與混噸同步控制問題結合起來,在假定混飩系統能夠分解為線性部分和非線性部分的前提下,利用神經網路逼近混飩系統的非線性部分,設計出了一種利用pf神經網路的狀態觀測器,可以完成混飩系統的同步控制。分享友人