discrete-time dynamic system 中文意思是什麼
discrete-time dynamic system
解釋
離散時間動態系統-
Lyapunov exponent depict the discrete extent of chaotic dynamic system. there propose an estimation of one step prediction error based on lyapunov exponent, the estimation express the reliability of prediction numerically. at the same time, in order to improve the predictive precision it drew out an error complement methods creatively to correct one step prediction
Lyapunov指數定量刻畫混沌離散動力系統的平均發散程度，基於lyapunov指數作出了一步預測的誤差估計，以此來定量反映預測的可靠性；根據奇異吸引子流形的性質，創造性的提出殘差補充法，對預測值作出修正以降低誤差，提高預測精確性。 -
One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。 -
This paper presents a sufficient condition for the asymptotic stability and geometry - velocity stability of the time - varying discrete dynamic system
摘要對時變離散動態系統給出了判斷其漸近穩定和幾何速度穩定的充分條件。 -
According to the takens embedding theorem, the nonlinear time series is converted into discrete dynamic system. the prediction of time series is achieved by the observation of system states
將由系統的輸入輸出變量組成的非線性時間序列通過空間嵌入的方法轉化為一個離散動態系統，通過對系統狀態的觀測實現時間序列的預測。 -
On the one hand, the traffic system has hybrid dynamic property of discrete event and continuous time, high nonlinearity, non - stationary randomness with unknown distribution, fluctuating system parameters according to environmental conditions and people ' s travel demand, and strong - coupling adjacent intersections. therefore, the states of a traffic system are difficult to measure, predict or control. on the other hand, several kinds of control action are taken on the urban traffic system, such as signals at intersections, guiding information and etc. signals are the most commonly used control action
一方面，從系統動力學角度分析，具有離散事件一連續時間混合動態特性、高度非線性、非平穩未知分佈的隨機性、系統參數經常隨環境條件和人們出行需求發生漂移以及交叉口之間具有強耦合特性等，所以系統狀態難以準確測量、預測和控制；另一方面，交通系統的控製作用有很多種，如信號燈、誘導信息等，信號燈是當前被廣泛應用的主要控製作用。 -
The existing condition of optimal controller in the discrete time system described by s operator is discussed in this paper, in which the method of dynamic programming is used
採用動態規劃方法研究了delta運算元描述下的離散系統存在最優控制器的條件，得到了delta域內的riccati方程，設計了基於delta運算元描述下的離散系統的最優反饋控制器。 -
Flexible manufacturing system is a typical real - time dynamic discrete event system composed of a number of computer - controlled machines, automated material handling and storage equipments
柔性製造系統（ flexiblemanufacturingsystem ）是一類極其復雜的離散事件動態系統（ discreteeventdynamicsystem ） 。
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