fuzzy logic function 中文意思是什麼
fuzzy logic function
解釋
模糊邏輯函數-
Aimed at the flaw of weak anti - slide function in traditional engineering machine, the thesis puts forward a new auto - anti - slide differential gear system controlled by intel 8751 microcontroller, which adopts the fuzzy logic as its control algorism and the best slide ration ( s ) as system ' s control target
針對傳統工程機械差速系統存在防滑功能不強的缺陷，提出以intel8751單片機為控制晶元，以最佳滑移率s為控制目標，採用模糊邏輯控制為控制演算法的自動防滑差速系統。 -
At the last, in accordance with the evaluation, the total loads are allocated to each sub - district. the third is fuzzy - logic - based approximate reasoning method which can consider weights in the premise in rules and a denazification decision - making function
鄭州大學碩士論文摘要第三、基於模糊邏輯和近似推理的訣策方法：該方法是一種在知識不完備情況下，能夠考慮推理前提重要性的、基於模糊邏輯的近似推理和決策的新方法。 -
The suggested control scheme fulfills automatic full range feedwater control by changing the structure and parameter of control system according to different stages of load, making full use of intelligent fuzzy logic function on conditons of remaining process system
充分利用模糊智能控制系統的功能，在不改變工藝系統的情況下，從控制策略著手，隨工況的變化改變控制系統的參數，在鍋爐點火、升壓、並網、升負荷、降負荷全過程實現自動控制。 -
It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use
本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。 -
Finally, based on the approximation capability of gengeralized multilinear fuzzy logic systems ( gmfls ), a new scheme of decentralized adaptive fuzzy controllers for a class of multiple - input - multiple - output nonlinear systems with a triangular matrix function control structure is proposed
最後針對一類具有下三角形矩陣函數控制增益的多變量非線性系統，並利用廣義多線性模糊邏輯系統的逼近能力，提出了一種分散自適應模糊控制器設計的新方案。 -
The following is the detailed, 1. in the chapter 2 of constructing system modeling, first, the manufacture tasks are calculated and the process is described. then, according to the theory of constraints ( toc ), the constraint items and target function of corporation runing are defined and three rules of heuristic algorithm are described. at last, the model to arranging production plan by heuristic algorithm and the fuzzy logic model to follow the plan be carried out are constructed
在建立系統模型部分，首先，明確企業的加工任務和加工工藝；其次，採用toc理論確定企業生產的約束條件，確定企業運行的目標函數，建立啟發式搜索編排的3大規則；最後，建立啟發式搜索編排生產計劃的模型，和生產計劃執行情況的模糊跟蹤模型。 -
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。 -
In order to minimize the torque ripple of srd, the dissertation further design the intelligent torque control system, introduce the instantaneous torque control strategy based on torque distribute function, which is implemented by the flux linkage controller of srm. furthermore, considering the multi control parameter, the article also found the rotor position angle controller based fuzzy logic so as to optimize the whole control system and effectively reduce the torque ripple
為了降低srd系統的轉矩脈動，本文在所建模型的基礎上，設計出智能化轉矩控制系統，利用轉矩分配函數，提出瞬時轉矩控制策略，同時採用磁鏈控制器來實現；考慮到srd具有可控參數多的特點，本文同時建立了優化轉子位置角的模糊控制器來達到智能化轉矩控制的目的，從而有效抑制sr電機的轉矩脈動。 -
Every logical model defined on the continuous interval [ 0, 1 ] alters continuously following generalized correlative coefficient he [ 0, l ] and generalized self - correlative coefficient he [ 0, l ]. for example fuzzy logic is only one of the exceptions of gl when h = l. firstly, in this paper it is described that gpl and, or and negation operations can be realized mathematics using a few of forms, such as exponential form, polymorphous form and triangular function form
由於在建立命題泛邏輯學時，包含了已知各種命題邏輯的邏輯學要素（如真值域，命題連接詞等） ，而在每一個邏輯學要素中又包含了已知的全部可能性（如從最大負誤差到最大正誤差等） ，所以不僅已知的各種命題邏輯是命題泛邏輯學的特例，而且還可以生成新的命題邏輯。 -
In order to reduce the programming complexity of practical fuzzy control systems, two matlab application program interface ways to capitalize on the resources of matlab and its fuzzy logic toolbox in c programming environment is discussed. one is the maw engine function library, by which c language starts a matlab course running in the background. another is the stand - alone c - code fuzzy inference engine, by which c language establlshes a fuzzy inference system completely based on the c. both of these can reduce the programming loads of practical fuzzy control system obviously
在模糊控制軟體開發平臺研究方面，為減小實際模糊控制系統的編程復雜性，探討了在c語言中調用matlab及其模糊邏輯工具箱資源的兩種matlab應用程序介面方法：一個是利用matlab引擎函數庫，由c語言啟動一個matlab進程在後臺運行；另一個是利用模糊邏輯工具箱中的獨立c代碼模糊推理引擎，建立完全基於c語言的模糊推理系統。 -
This kind of controller is easy to design and operate, and has improved convergence rates and less overshoot than pid controller, but has stable error. in order to improve the properties of the fuzzy controllers, fine - tune - rule fuzzy controller, fine - tuned parameter fuzzy controller and fuzzy - pi controller were designed respectively based on the simple fuzzy controller. then fuzzy logic inferential system is established by using toolbox of fuzzy logic in matlab7. 0. secondly, in simulink6. 0, through the instance of the template of s - function, the module of s - function for optimizing fuzzy control and corresponding control model are constructed, and the parameters of simulation are set
這種控制器易於設計、實現方便，較傳統pid控制有更快的響應速度和更小的超調，但其存在靜態誤差;為了進一步提高模糊控制器的控制特性，在此基礎上分別設計了可調整控制規則模糊控制器、參數自整定模糊控制器和模糊- pid復合控制器;然後利用matlab7 . 0模糊邏輯工具箱圖形用戶界面建立模糊邏輯推理系統，在simulink6 . 0系統模擬設計平臺中通過實例化s函數模板創建旨在優化模糊控制的s函數功能模塊，並構建模糊控制系統框圖模型，設置系統模擬參數，最終對系統進行動態模擬。 -
Based on improvement of standard fuzzy controller, an integrated intelligent algorithm combining fuzzy logic with integral function and adaptive parameters is presented. the simulation results show it has better performance than conventional pid controller
論文在標準模糊控制器基礎上，採用加積分環節的模糊控制演算法，自適應模糊控制演算法，模擬運行的結果表明其控制效果要優于pid控制。 -
Based on above, we proposed the intelligently optimized and comprehensive diagnosis approach - genetic algorithm ( ga ) - based intelligently optimized diagnosis algorithm which is introduced in detail in this paper. following basic theory and approach about ga, optimized objective function is decided through fuzzy logic theory, then fitness function is derived and at last how to optimize and diagnose pattern parameters intelligently is discussed with ga, including coding approach, interlace, probability selection and single copy of optimizing parameters. based on our cooperative engineer, intelligent optimization and noise diagnosis processes are discussed and diagrammized in the software designing
基於這些理論，我們研究出一種智能優化和綜合智能診斷方法，即基於模糊遺傳演算法（ f ? ga ）的智能優化診斷方法，論文對該方法作了詳細介紹：首先介紹了遺傳演算法的基本理論及方法，接著用模糊推理理論確定優化目標函數，然後根據優化目標函數導出適應度函數，最後介紹了如何用遺傳演算法對花紋參數進行智能優化和噪聲智能診斷的，其中，講述了各個待優化參數的編碼方法、交叉、概率選擇復制個體方法等。
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