time varying network 中文意思是什麼
time varying network
解釋
時變網路-
Application of mixed neural network in slow time - varying system control
混合網路在慢時變系統中的應用 -
The development of the internet and communication equipment has enabled new applications which include : finance analysis, network monitoring, telecommunication data management, sensor networks, etc. in these applications, the data which we called data stream is multidimensional, continuous, rapid, and time - varying, which should not only meet the needs of traditional ad - hoc query, but also continuous one for special
隨著網路的發展，通訊設備的普及，一種新的數據密集型應用逐漸浮出水面，這主要包括:金融分析、網路監控、通訊數據管理、傳感器網路數據處理等。在這些應用中數據是多維的、連續的、快速的、隨時間變化的，同時，這些應用除了傳統的即席查詢，更可能需要連續查詢。 -
Simulation results show that both of them have satisfactory performance and strong robustness. 2. to ph processes, which are nonlinear and time varying, the neural network model is structured and the learning algorithm is presented, based on which the model - free controller is designed, while the controller gain is scheduled by a fuzzy method
針對具有嚴重非線性和不確定性的ph中和過程，給出一種神經網路模型，提出了一種神經非模型控制方法，該方法利用模糊演算法在線調整神經網路控制器的增益，模擬實驗表明這種基於神經網路的非模型控制方法能有效控制ph過程，具有優良的控製品質和強魯棒性。 -
By measuring the temperature of temperature - feeling machine of pre depositing in the box sections, i can get the varying temperature data of different time in box sections, then make use of these temperature test datas, figure out the variety regulation of temperature distribution along the high direction in box section with the nerve network method, then i get temperature fields of box section along the high direction
3 、採用現場實測的方法，通過測量預埋在箱梁截面的溫度傳感器，得到不同時刻箱梁截面的溫度變化數據，然後利用這些溫度測試數據，用回歸分析的方法擬合出沿梁高方向的溫度分佈規律，從而得到箱梁梁高方向的溫度場。 -
Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,
然後，應用單神經元自適應psd控制器改造調速系統的轉速環，代替傳統pi調節方式的轉速控制器。模擬表明，新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式，系統的魯棒性增強。在分析單神經元自適應psd控制器特性后，本文提出用對角遞歸神經網路辯識控制對象，為psd控制器提供靈敏度參數，從而構成一神經網路自校正控制方案。 -
The primary works and innovations of this paper include but not limited to : ( 1 ) considering the nonlinear, time - varying and uncertain characteristics of networks, a new active queue management ( aqm ) algorithm, i. e. nnpc - aqm was proposed based on predictive control theory, which requires less model accuracy. in order to realize fast control, a predictor was constructed using two - layer linear neural network to predict the future queue length, and a controller was composed using two layers of nonlinear neural network to optimize the next control volume, i. e. drop probability
本文研究的主要內容及創新點如下： （ 1 ）針對網路的非線性、時滯、不確定特點，結合預測控制理論提出一種新型主動隊列管理（ aqm ）策略nnpc - aqm ，該演算法基於單值預測控制思想，為了實現快速控制，採用兩層神經網路構造預測器，估計未來時刻隊列長度；採用兩層非線性神經網路組成控制器，實現對下一步丟棄概率的優化。 -
( 2 ) wavelet networks are introduced to gpc. several nonlinear gpc algorithms based on wavelet networks are given : a nonlinear gpc base on predictive error compensation is designed, in which wavelet network is used to model the predictive error ; a new structure of multi - step predictive controller is constructed in which wavelet networks are used to identified the nonlinear directly ; a single - step predictive controller is given, in which a wavelet networks are used to estimate the parameters of the linear time - varying system. ; an a implicit gpc for nonlinear system is presented, in which wavelet networks are used to estimated the time - varying parameters of the generalized predictive controller
（ 2 ）將小波網路與非線性廣義預測控制相結合，設計了多種基於小波網路的非線性廣義預測控制：考慮到建模誤差對多步預報的影響，引入小波網路估計預報誤差，對輸出預報進行修正，提高了控制性能且不影響系統的穩定性；利用小波網路構造多步預測器，設討了非線性系統多步預測控制演算法；利用小波網路逼近非線性系統廣義預測控制器的時變參數，設計了非線性系統隱式廣義預測控制器；利用小波網路辨識時變系統參數並直接用於構造控制器，設計了非線性系統單步預測控制演算法。 -
This paper adopts sequential monte carlo simulation technique and time - varying load model to assess multi - fault reliability of typical distribution network considering line capacitance constraint and power flow of distribution system
本文在考慮線路容量約束和潮流分佈的條件下，採用序貫蒙特卡羅模擬和全年時變負荷模型評估典型配電網多重故障模式的可靠性。 -
One of the biggest challenges in dsms is the especial need for adaptivity, due to the long running continuous queries and time - varying feature of the data stream and the network environment
Dsms面臨的重大挑戰之一是長時間連續查詢和多變的系統環境和數據所帶來的對系統在適應性上的特殊需求。 -
This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum. for the linear systems with unknown parameters, we identify the parameters using hopfield network, then design the observers using the identified parameters, the exponential convergence of adaptive observer is also proved. for the linear time - varying systems, a new network to solve the time - varying sylvester equation is proposed, we analysis it ' s convergence and robustness, then, deign the linear time - varying observer using this network model, and we discuss the convergence of the observer and ruboustness to unknown match parameters
同時保證了sylvester方程的解矩陣的可逆性和觀測器的增益矩陣與輸入矩陣范數的和最小；在設計線性時不變自適應觀測器時，首先利用系統的輸入、輸出數據設計一個hopfield網路參數估計器，進一步設計狀態觀測器，證明了參數估計器和狀態觀測器的指數收斂性；為了仍然從神經優化計算的角度設計線性時變系統的狀態觀測器，最後介紹了一種求解時變sylvester矩陣方程的神經網路模型，分析了它的收斂性和魯棒性，然後利用該網路設計時變狀態觀測器，進一步討論該觀測器的在系統存在未建模不確定和外部噪聲時的魯棒性；最後給出了一種基於分離性原理和hopfield網路觀測器的狀態反饋閉環系統的結構，分析了該閉環系統的特點；對于每一種設計方法都給出了相應的數值模擬例子來進一步表明所提方法的可行性和有效性。
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