模似控制器 的英文怎麼說
中文拼音 [mósìkòngzhìqì]
模似控制器
英文
analog controller- 模 : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
- 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...
- 器 : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
- 控制器 : controller; regulator; monitor; pilot; keyer; manipulator; control unit; control device; [自動化]...
- 控制 : control; dominate; regulate; govern; manage; check; cybernate; manipulate; encraty; rule; rein; c...
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A. teel, d. nesic etc. initially studied iss stabilization of nonlinear sample - data systems of this type in 1998. practical stabilization of nonlinear sampled - data systems based on discrete - time approximation with sufficiently small sampling periods has been studied in recent years. the sufficient conditions have been given for the practical st abilization of the above case
第三部分:在采樣周期固定的條件下,研究基於近似離散化模型上設計的關于參數t一致的漸近穩定采樣控制器能夠以漸近穩定方式一致鎮定其連續受控系統的條件。The improvements in the iaga contained adding strengthen operator, improving evaluation index of premature, etc. multi - phase homing project, making use of the flight properties of parafoil system in gliding and turning, was simple in control and facile in practice. based on frenet frame, the linear time - variable error equations of parafoil system were built
基於frenet坐標系推導和建立了翼傘系統線性時不變的誤差方程,並運用「投影點」的思想來獲得frenet坐標系下偏差量的解析近似表達式,從而設計了用於翼傘系統航跡跟蹤的傳統pd控制器和增益調節型模糊pd控制器。Using the method of approximately reason of the fuzzy controller, the intelligentized control of controlled object has been realized
運用模糊控制器近似推理等手段,實現了被控對象的智能控制。In this thesis, a new kinematic model of nonholonomic car - like robot, differential driving car - like robot model is proposed. a feedback controller via approximate linearization and a feedback controller via exact feedback linearization are designed for trajectory tracking problem. it is proved that differential driving car - like robot model can be converted into a canonical form, chained form
本文提出一種新的非完整約束車型機器人運動學模型? ?差動驅動機器人模型,就軌跡跟蹤問題,設計出了近似線性化反饋控制器及精確線性化反饋控制器,並證明了這種運動學模型可以轉化為一種標準型? ?鏈式結構,因此此項研究具有普遍意義。Firstly, based on a modified lyapunov function and the approximation capability of the first type fuzzy systems, two new design schemes of decentralized adaptive fuzzy controller for two class of similar multivariable nonlinear continuous systems with a triangular matrix function control structure is proposed in this paper, respectively
本文首先對兩類結構相似的具有下三角形矩陣函數控制增益的多變量非線性連續系統,基於一種修改的李亞普諾夫函數,並利用第一類模糊系統(即具有線性可調參數的模糊系統)的逼近能力,分別提出一種分散自適應模糊控制器設計的方案。The proposed fuzzy sliding mode controller does not require any knowledge of a nonlinear system and attempts to improve both transient and stability margins
建議的模糊滑動模式控制器是針對非線性系統在未知參數變化與結構下的強健追蹤控制,其設計包含補償器、衰減技術、模糊邏輯近似法。Hence analysis and design of nonlinear sampled - data systems has been, in recent years, a subject of growing interest in the international community of control research. when a continuous - time plant is controlled using a digitally implemented controller, it is often faced that a continuous - time plant is transformed into its equivalent discrete - time model. a digital controller is usually designed on the base of approximate discrete - time models of the continuous - time nonlinear systems because it is difficult to obtain the closed form of the exact discrete - time model for nonlinear control systems
利用計算機等一類離散控制裝置來控制連續時間的受控對象時,都會遇到把連續時間系統化為等價的離散時間系統的問題,通過采樣器和保持器來實現離散時間的采樣控制,對于非線性連續受控系統,由於連續系統的時間離散化后一般得不到其等價的精確離散化模型表示的有限形式,實際上由其近似離散化模型代替來設計控制器,而近似會引起信號失真,那麼基於近似離散化模型上設計的采樣控制器,它是否同樣對原連續受控系統有效Firstly, a reduced order model of this flexible structure is obtained by frequency domain identification, then unstructured uncertainties constituted by neglected modes are taken care of in the time of design process by choosing appropriate weighting functions, arid finally a robust feedback controller is designed based on the reduced order model and the approximate knowledge of unmodeled uncertainties
首先通過頻域辨識得到柔性結構的降階模型,而剩餘高階模態構成的非結構不確定性,通過對權函數的選擇在設計階段就加以考慮,然後基於降階模型和未建模不確定的近似特性設計了魯棒反饋控制器。A speed - sensorless control method for bldcm, which applies recurrent fuzzy neural network ( rfnn ), is presented in this paper based on the dynamic model of bldcm. the rfnn controller is used as a speed controller to mimic the optimized output of the system
本文基於bldcm的動態模型提出了一種性能較好的遞歸模糊神經網路( rfnn )無速度傳感器bldcm控制方法,採用rfnn控制器作為轉速控制器來近似最優控制器輸出。The following conclusions have been drawn from this research program, : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard, and it can be utilized for helicopter handling quality design. ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope, with requiring only an approximate linear model at a single operating point. ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development
通過該課題的研究,得到以下結論: ( 1 )參考模型跟蹤結構能夠直接實現飛行品質規范要求,可以用於直升機飛行品質設計; ( 2 )自適應模型逆控制方法只需一個基準狀態下的近似線性模型,卻可在整個使用包線內提供協調一致的飛行品質; ( 3 )自適應神經網路模型逆控制技術可節約成本,縮短飛控系統研製周期; ( 4 )在某些部件部分意外失效或戰損情況下,自適應神經網路具有實現控制的在線快速重新配置、保持飛行品質的潛力; ( 5 )軌跡跟蹤控制器可以用於任務科目基元模擬及飛行品質評估。Both are used to separate the responsibility for rendering pages from the model and controller. both accept objects passed into them as an input argument, both allow inserting string values within code " expressions ", and allow direct use of java code to perform loops, declare variable, or perform logical flows " scriptlets ". both are good ways of representing the structure of a generated object web page, java class, or file while supporting customization of the details
Jet與jsp非常類似:二者使用相同的語法,實際上在後臺都被編譯成java程序;二者都用來將呈現頁面與模型和控制器分離開來;二者都可以接受輸入的對象作為參數,都可以在代碼中插入字元串值(表達式) ,可以直接使用java代碼執行循環、聲明變量或執行邏輯流程式控制制(腳本) ;二者都可以很好地表示所生成對象的結構, ( web頁面、 java類或文件) ,而且可以支持用戶的詳細定製。( 2 ). similar to mark w. spong [ 2 ] " s control structure, we propose a new control strategy for above model with only parametric uncertainty. the proposed scheme consists of two parts. the first part is the nonlinear compensating standard controller
( 2 ) .採用類似於markw . spon夢]的控制結構,針對該模型只具有參數不確定性時進行魯棒性設計,控制器由基於標稱模型設計的非線性補償控制器lz ]和基於勿opunov理論設計的魯棒補償控制器。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。The second choice would be closer to what would happen in the event of a real drive failure, while the first would simulate something like a failed disk controller or bad cable situation - where one of your mirror drives was temporarily unavailable, causing dev md0 to run in degraded mode, and requiring one of the partitions to be added back to the volume after the problem was remedied
盡管第一種方案也模擬了一些事件,如磁盤控制器故障或電纜故障,但第二種方案與對實際驅動器故障的處理更加類似在第一種情況下,只是某個鏡像驅動器暫時不可用, / dev / md0以降級模式運行,在問題得到修正以後,需要再次將一個分區添加到卷中。Furthermore, various tools of nonlinear control design are introduced the paper is organized as follows : in the part one, we introduce a background and currant research situation of nonlinear sampled - data systems using digital controller designed on the base of the approximation and brief a main ide
第六部分:問題的總結和展望,提出未解決的問題以及研究方向.在固定采樣間隔條件下,基於近似離散化模型上設計一的采樣控制器控制其連續In the neural networks control, the structure and the working principle of the cerebella model articulation controller ( cmac ) are discussed firstly, and then based on the mutual supplements and the similarities between fcmac and fuzzy logic, fuzzified cerebella model articulation controller ( fcmac ) is proposed. the learning control system based fcmac are introduced in detail. through the example of fcmac used in the swinging up a pendulum control, the excellent control effects are demonstrated
在神經網路控制方面,本文主要研究了小腦模型關節控制器( cmac ) ,並進而根據cmac與模糊邏輯的互補性與相似性,提出了模糊小腦神經網路控制器( fcamc ) ,詳細討論了fcmac的學習控制系統與fcmac的自學習機理,通過fcamc對倒單擺控制的具體例子表明, fcmac控制具有優良的控制效果和強的魯棒性。Similar to dpdc fuzzy controllers, these decentralized states observer are t - s fuzzy systems themselves. and lmi - based sufficient conditions for these states observers to estimate the true states of the fuzzy large - scale system asymptotically are developed
所設計的分散狀態觀測器與dpdc模糊控制器類似,本身也是一系列t - s模糊子系統,本論文給出了這些分散化狀態觀測器能漸近估計出原系統狀態的lmi形式的充分條件。In the control strategy, the basic value of rotation rate is calculated by corrected similar formulation and the adjustment value is ascertained by output of fuzzy controllers, the strategy can assure steady precision and to eliminate vibration
在這種控制策略中轉速控制量的基值根據修正後的相似公式進行計算,而轉速控制量的調節值為模糊控制器的輸出,這樣做既保證了系統的穩態精度;也避免了系統振蕩。First, programming to calculate the fuzzy control table, then analyses the harmonic of the area equivalent algorithm and the approximate area equivalent. with the matlab simulating tool and visual basic language, the designed system is simulated, and the result is given
首先,本人編程計算出模糊控製表,給出了模糊控制器的設計過程,接著分析了等面積演算法和近似等面積演算法(本人提出)下spwm波的諧波含量,並對兩種方法進行了比較。Fuzzy control is a kind of intelligent control, a form of human intelligent control. it uses fuzzy conroller to realize system control based on fuzzy model of object controlled. fuzzy model, using fuzzy logical language and policy, describes properties of a system
模糊控制屬于智能控制,是一種模擬人類智能的形式,它是在被控對象的模糊模型的基礎上,運用模糊控制器近似推理等手段,實現系統控制的一種方法。分享友人