輸入邏輯變量 的英文怎麼說

中文拼音 [shūrùluóbiànliáng]
輸入邏輯變量 英文
input logic variable
  • 輸 : Ⅰ動詞1 （運輸; 運送） transport; convey 2 [書面語] （捐獻） contribute money; donate 3 （失敗） l...
  • 入 : Ⅰ動詞1 （進來或進去） enter 2 （參加） join; be admitted into; become a member of 3 （合乎） conf...
  • 邏 : Ⅰ動1. （巡察） patrol 2. [書面語] （遮攔） blockⅡ名詞1. （巡察） patrol 2. [書面語] （山溪的邊緣） edge
  • 輯 : Ⅰ動詞（編輯; 輯錄） collect; compile; edit Ⅱ名詞（整套書籍、資料的各個部分） part; volume; division
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 輸入 : 1 （從外部送到內部） import 2 [電學] input; entry; entering; in fan; fan in; 輸入變壓器 input tra...
  • 邏輯 : logic
  1. Several semi - active control algorithms used in the semi - active suspension system with mr dampers are proposed and developed including the " on - off " voltage controller, the continuously linear variable voltage controller, the modulated continuously linear variable voltage controller based on " sky - hook " damping concept and the hybrid controller based on the combination of " sky - hook " damping concept and " ground - hook " damping concept and the fuzzy logic controllers using measurements of the relative displacement between the sprung and unsprung mass or the absolute acceleration of the sprung mass as the input variables of fuzzy logic controllers. the simulation models were prepared in matlab ? simulink ? fuzzy toolbox programs. the experiment setup of the semi - active suspension system with mr dampers in the lab has been designed and developed

    根據磁流變阻尼器特性和對懸架系統動力學特性的規律性研究，為磁流變阻尼器設計了基於「天棚」阻尼控制概念的「 on - off 」 、線性連續和修正的線性連續控制策略，基於「地棚」阻尼控制概念的磁流變阻尼線性連續控制策略， 「天棚」阻尼和「地棚」阻尼控制概念線性組合起來的磁流變阻尼混合控制策略，根據模糊控制原理設計了以簧載質量和非簧載質量間相對位移或簧載質量加速度分別作為輸入變量的模糊邏輯控制器用於磁流變阻尼半主動懸架的智能控制。
  2. Flux position & error in flux magnitude and error in torque are used as fuzzy state variables. fuzzy logic is used for choosing the switching state. a fuzzy logic controller can choose the switching states according to a set of fuzzy rules based on both specialists " experience and knowledge, which improves the response performance of the system effectively during start - up and change in load

    作為本文的一個創新點，針對普通的直接轉矩控制在給定轉矩躍變時反應較慢的缺點，提出了一種模糊控制器，把磁鏈位置、磁鏈誤差和轉矩誤差作為模糊輸入變量，應用模糊邏輯來確定逆變器的開關狀態，該模糊控制器根據一套基於專家經驗和知識的模糊規則來選擇開關狀態，從而有效地提高了系統在啟動和負載突變時的響應速度。
  3. This dissertation defines two parameters based on the diversity measure as the input of the flc which is used to control the ga ' s crossover probability and mutation probability

    本文從群體多樣性的角度出發，定義了兩個參數作為模糊邏輯控制器的輸入變量，輸出為遺傳演算法的交叉概率和變異概率。
  4. The dissertation refers to comparatively full literatures in the field of vsc, and the development history and characteristics of vsc are summarized, and the elementary concepts, elementary definitions, elementary properties, elementary principles and design methods are particularly introduced, and the causes of the chattering phenomenon are systematically analysed, and the study status of the chattering phenomenon and the main methods to eliminate the chattering are elaborated. for the deficiencies of traditionary methods, three improved methods are developed, which are improved exponent reaching law solution, variable boundary layer solution and the solution by adding an auxiliary continuous control term. for uncertain linear systems, an adaptive fuzzy integral variable structure control stategy ( afivsc ) is put forward to eliminate the chattering around the sliding plane, which introduces fuzzy logic to soften the non - linear discontinuous sig nal in the control variable and utilizes adaptive theory to adjust output membership function according to how much the uncertainty of the system is

    比較全面地查閱了關于變結構控制理論的文獻，總結了滑模變結構控制的發展歷史和特點，詳細介紹了變結構控制的基本概念、基本定義、基本性質、基本原理以及設計方法；系統分析了變結構控制系統抖振產生的機理，並闡述了國內外目前對抖振問題的研究現狀以及消除抖振的主要方法；針對傳統抑制和消除抖振方法的不足，改進了傳統方法，得到了三種新的消除抖振的方法? ?即改進的指數趨近律法、可變邊界層法和附加連續項法；針對不確定性線性系統，在變結構控制策略中引入模糊邏輯和自適應理論來消除滑動平面上的抖振，提出了一種自適應模糊積分變結構控制方案（ afivsc ） ，利用模糊邏輯來柔化控制量中非線性不連續部分，採用自適應理論，根據系統不確定性大小在線調整模糊輸出量的隸屬函數，另外，鑒于模糊控制本質上是有靜差的，所以本文選擇了帶積分項的切換函數，由於積分項的存在使系統較正為無靜差系統。
  5. A dynamic model for dissolved inorganic nitrogen ( din ) and phosphate ( po4 - p ) cycles and budgets in jiaozhou bay was established according to the principles of d - n - p - z model. in the model, 6 state variables ( din, po4 - p, phytoplankton, zooplankton, organic detritus, and dissolved organic nutrients ) were included. logically this model was divided into three modules - nutrients input, nutrients cycle in seawater, and output of both dissolved substances ( e. g

    本文根據n ? p ? z ? d模型的基本原理，建立了膠州灣氮、磷營養鹽循環收支動力學模型，主要包括營養鹽輸入，營養鹽生物、化學遷移和轉化內循環，溶解態和顆粒態物質水動力輸出3個邏輯模塊，涉及溶解無機氮（ din ） 、磷酸鹽（ po _ 4 - p ） 、浮游植物、浮遊動物、有機碎屑和溶解有機態營養鹽6個狀態變量。
  6. 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。
  7. In view of the operation characters of pmsm for ev application, a novel efficiency - optimization control strategy is presented to meet the demand of rapidity after analyzing the defect of efficiency - optimization control strategy of pmsm system with minimum input power in ordinary application. on the basis of ordinary efficiency - optimization control strategy with minimum input power, the new strategy adopts fuzzy logic control method and torque compensation strategy to accelerate convergence in process of optimizing controlled parameter

    針對電動汽車的運行特點，在分析了一般應用的pmsm系統輸入功率最小效率優化策略不足的基礎上，為滿足電動汽車用pmsm系統效率優化的快速性要求，提出新的效率優化控制策略，其核心是在輸入功率最小效率優化方法基礎上應用模糊邏輯控制並採用轉矩補償策略加速系統控制變量尋優過程的收斂速度。
  8. A new takagi - sugeno type fuzzy system modeling method is proposed in this paper, which is based on local linearity measure of training data. the number of rules and their initial parameter values can be determined through this method. the relationship between input / output variables can be approached much more accurately through parameter optimization. finally a numerical example is used to illustrate the efficiency of this method

    提出了一種高木-關野模糊邏輯系統的學習演算法，該演算法的核心是基於數據樣本局部線性度量的聚類，它可以有效地確定規則數以及相應模糊邏輯系統的參數初值.通過對系統的參數進行優化，可以很好的描述輸入輸出變量間的關系.模擬實驗說明了該方法的優越性
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