【正文】 a turbidity sensor that measures scattered and transmitted light to measure the soiling of the wash。作為一個例子 ,解釋一個規(guī)則 ,因為如果溫度是“冷” ,那么加熱器是“ 高”由第一階表達式冷→高和假設是一個輸入這樣冷是假的。還有一個不經(jīng)營者一個隸屬函數(shù)減去從 1 到給“補充性”功能。每一個適當?shù)募庸るA段調(diào)用規(guī)則和產(chǎn)生的結(jié)果對每個人來說 ,然后結(jié)合結(jié)果的規(guī)則。 在一個例子里 ,有兩個輸入變量是“剎車溫度”和“速度” ,定義為模糊集值。溫度傳感器提供輸入 ,輸出一個控制逆變器 ,一個壓縮機氣閥 ,風扇電機。 1987 年另一項促進模糊系統(tǒng)的興趣。 歷史以及應用 模糊邏輯首先被提出是有 Lotfi 在加州大學伯克利分校在1965 年的一篇論文。日立洗衣機用模糊控制 器 LoadWeight,FabricMix 和塵土傳感器及自動設定洗滌周期來最佳利用電能、水和洗滌劑。分散和濁度傳感器用來檢測透射光測量失禁的洗滌 ,以及一個磁致伸縮傳感器來讀取旋轉(zhuǎn)速率。在許多情況下 ,數(shù)學模型的控制過程可能不存在 ,或太“貴”的認識論的計算機處理能力和內(nèi)存 ,與系統(tǒng)的基于經(jīng)驗規(guī)則可能更有效。在某些情況下 ,隸屬函數(shù)可以修正“籬笆”相當于形容詞。大致過程如下 : 。以這樣一種方式成為一個章模糊控制的模糊邏輯編程。s basic logic. Also in Gerla 2021 a logical approach to fuzzy control is proposed based on the following idea. Denote 。然后給 出一個可能的輸出的 ,我們把為真理程度的表示。方法更利于統(tǒng)治質(zhì)心與輸出最大的區(qū)域 ,而高程法顯然更利于規(guī)則和最大的輸出值。這個結(jié)果是用來與其他規(guī)則的結(jié)果 ,最終產(chǎn)生脆復合輸出。這類系統(tǒng)通常被作為“ PID 控制器”他們是產(chǎn)品的數(shù)十年的發(fā)展建設和理論分析 ,是非常有效的。在 1995 年美泰克公司推出的一個“聰明” 基于模糊控制器洗碗機 ,“一站式感應模塊”包括熱敏電阻器 ,用來溫度測量 。 1988年 ,日本建立了國際模糊工程實驗室 ,建立合作安排 48 公司進行模糊控制的研究。雖然遺傳算法和神經(jīng)網(wǎng)絡可以執(zhí)行一樣模糊邏輯在很多情況下 ,模糊邏輯的優(yōu)點是解決這個問題的方法 ,能夠被鑄造方面接線員能了解 ,以 便他們的經(jīng)驗 ,可用于設計的控制器。這是一個經(jīng)典的控制問題 ,在這一過程中 ,車輛努力保持桿安裝在頂部用鉸鏈正 直來回移動。 日本人對模糊邏輯的人情是反映在很廣泛的應用范圍上 ,他們一直在研究或?qū)崿F(xiàn) :例如個性和筆跡識別光學模糊系統(tǒng) ,機器人 ,聲控機器人直升飛機。 這條規(guī)則本身很莫名其妙 ,因為它看起來好像可以使用 ,會干擾到與模糊 ,但要記住 ,這個決定是基于一套規(guī)則。 最 常見的形狀是三角形的隸屬度函數(shù) ,盡管梯形和貝爾曲線也使用 ,但其形狀通常比數(shù)量更重要曲線及其位置。 規(guī)則可以解決并聯(lián)在硬件或軟件。很明顯 ,如果我們考慮系統(tǒng)的先例的規(guī)則類定義一個分區(qū)這樣一個自相矛盾的現(xiàn)象不會出現(xiàn)。 since the membership values are always less than 1, this narrows the membership function. Extremely cubes the values to give greater narrowing, while somewhat broadens the function by taking the square rootIn practice, the fuzzy rule sets usually have several antecedents that are bined using fuzzy operators, such as AND, OR, and NOT, though again the definitions tend to vary: AND, in one popular definition, simply uses the minimum weight of all the antecedents, while OR uses the imum value. There is also a NOT operator that subtracts a membership function from 1 to give the plementary functionThere are several ways to define the result of a rule, but one of the most mon and simplest is the min inference method, in which the output membership function is given the truth value generated by the premiseRules can be solved in parallel in hardware, or sequentially in software. The results of all the rules that have fired are defuzzified to a crisp value by one of several methods. There are dozens in theory, each with various advantages and drawbacksThe centroid method is very popular, in which the center of mass of the result provides the crisp value. Another approach is the height method, which takes the value of the biggest contributor. The centroid method favors the rule with the output of greatest area, while the height method obviously favors the rule with the greatest output valueThe diagram below demonstrates min inferring and centroid defuzzification for a system with input variables x, y, and z and an output variable n. Note that mu is standard fuzzylogic nomenclature for truth value: Fuzzy control system design is based on empirical methods, basically a methodical approach to trialanderror. The general process is as follows: the system39。 robots, voicecontrolled robot helicopters Work on fuzzy systems is also proceeding in the US and Europe. The US Environmental Protection Agency has investigated fuzzy control for energyefficient motors, and NASA has studied fuzzy control for automated space docking: simulations show that a fuzzy control system can greatly reduce fuel consumption. Firms such as Boeing, General Motors, AllenBradley, Chrysler, Eaton, and Whirlpoo