網路控制 的英文怎麼說
中文拼音 [wǎnglùkòngzhì]
網路控制
英文
network control- 網 : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
- 路 : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
- 控 : 動詞1 (告發;控告) accuse; charge 2 (控制) control; dominate 3 (使容器口兒朝下 讓裏面的液體慢...
- 制 : Ⅰ動詞1 (製造) make; manufacture 2 (擬訂; 規定) draw up; establish 3 (用強力約束; 限定; 管束...
- 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
- 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
-
Networked control systems ' delay compensation method
網路控制系統的時延補償策略研究Application of network cybernetics in network attack and defense
網路控制論在網路攻防中的應用In general, there are tow nns in the system of nns - imc. one is neuro - controller, and another is neuro - emulator. the neuro - emulator emulates the model of the plant online, and gives the jacobin of the plant to neuro - controller
它一般包括神經網路控制器和神經網路觀測器,神經網路觀測器在線辨識被控對象的模型,以此作為系統的內部模型,並且向神經網路控制器提供被控對象的梯度信息。The exhibits at asian elenex 2002 were equally impressive. for example, deson presented its i - panel, which controls all the home electrical appliances via internet. other new products were samsung s web pad, gelec s car park ventilation - jetfoil system, and anway s indoor air quality measurement equipment, etc
展品多元化,如deson的i - panel ,是一個為家居設計、集合所有傢具電器控制的智能控制器;其他最新推出的產品包括三星電子的智能網路控制板;香港通用電器有限公司的停車場射風扇、以及正佳工程有限公司的室內空氣品質量度儀等。( 6 ) extension control is studied in earnest. through a simulation example extension control is compared with some kinds of neural networks control. the simulation result on slow time - varying nonlinear system shows that extension control is superior to neural networks control
( 6 )認真研究了可拓控制,通過模擬算例對可拓控制與幾種神經網路控制進行了比較分析,得出了對慢時變非線性系統可拓控制比神經網路控制效果要好的結論。Network system design of coal conveyer computer control system in large scale thermal power plant
大型火電廠輸煤程式控制系統的網路控制系統設計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。Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created
神經網路控制是智能控制的重要方式之一,它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法( bp演算法) ,特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次,應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器,作為引入神經網路控制的設計基礎,並建立了系統的模擬模型。On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control
在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後,引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制,將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體,彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。To improve the level of automation in accelerator control of china institute of atomic energy, an advanced network control system about low - energy high ion - current device was designed and realized
摘要為了提高中國原子能科學研究院串列加速器控制的自動化水平,設計並實現了一種先進的低能強流離子束網路控制系統。The research in the intelligent home system
家庭智能網路控制系統的研究Realization of complicated network on 300 mn die forging hydrostatic press control system
模鍛水壓機操縱系統復雜網路控制實現Fuzzy neural network for idle speed control in automotive engines based on simulink
的汽車發動機怠速模糊神經網路控制In this dissertation, two kinds of optimization, methods are proposed. firstly, only these linking weights corresponding to the control rules that affect the control performance significantly are updated in order to reduce the compute works and speed up the training progress. secondly, the updating step is adjusted adaptively in accordance with the error and the change of error of the system based on the t - s model to get better performance
針對模糊神經網路控制器一般存在著在線權值調整計算量大、訓練時間長、過度修正權值可能導致系統劇烈振蕩等缺點,提出了兩種模糊神經網路控制器的優化方法:在線自學習過程中僅對控制性能影響大的控制規則相關的權值進行修正,以減小計算量,加快訓練速度;基於t - s模糊模型,根據偏差及偏差變化率大小動態自適應調節權值修正步長,抑制控制器輸出的劇烈變化,避免系統發生劇烈振蕩。In view of the deficiency of traditional control methods and the distribution trait of riverhead and consumer, this paper presents a structure system controlled by network of water supply and sets up mathematic model
根據我國供水現狀和傳統控制方法的缺陷以及水源與用戶分佈特點,提出了無線供水系統網路控制結構體系並建立了網路控制數學模型。A neural network control method for dc dc converters
變換器的一種神經網路控制方法An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages
針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足,設計了一種間接自校正模糊神經網路控制系統,利用遺傳演算法( ca )對隸屬度函數的結構和參數進行優化,模擬比較表明該控制比模糊pid控制具有更優的性能。Station, net - control
網路控制站Online delay - evaluation control for networked control systems
網路控制系統在線時延估計控制The simulation results showed that the intelligent shift control could improve the powertrain efficiency of the engineering vehicle, and could overcome the low realtime behavior of neural network in the meantime
模擬結果表明,該控制方法提高了工程車輛液力機械傳動系統效率,有效地克服了神經網路控制實時性差,難以在工程實際中應用的問題,實現了換擋控制的智能化。分享友人