模糊自動機 的英文怎麼說
中文拼音 [móhúzìdòngjī]
模糊自動機
英文
fuzzy automata-
In chapter 2, a class of fuzzy finite automata corresponding to the mealy type of ordinary automata is formulated and two types of statewise equivalence relations are introduced
在第二章中，對應于經典mealy型有限狀態自動機的一類模糊有限狀態自動機-新mealy型模糊有限狀態自動機被建立。From the equivalence relations, a minimal form is defined and a minimization algorithm of the mealy type of fuzzy finite automata is obtained. in chapter 3, a fuzzy finite automata with a fuzzy initial state that was first considered by m. mizumoto, j. toyota and k. tanaka in 1969 is introduced. based on the mizumoto type of fuzzy finite automata, a statewise equivalence relation is considered
在第三章中，我們首先介紹了一類有模糊初始狀態的模糊有限自動機- mizumoto型模糊有限自動機，然後定義了兩種狀態等價和兩種模糊有限自動機等價的概念，接著證明了對于每一個mizumoto型模糊有限自動機，都存在一個與之等價的狀態最小化模糊有限自動機，並且給出了一個狀態最小化約簡演算法及其演算法終止條件。The paper is based on the project of national natural science foundation " the intelligent control system of ship on bumping and avoiding bumping " and " the study based on the impulsion response of light duty configuration, control and experiment method of high speed ship ". the fuzzy adaptive control is applied to ship steering. it is significant to improve automation technology of ship in china
本論文以國家自然科學基金項目「船舶碰撞與避碰的運動機理及計算機智能模擬系統研究」和「基於高速船輕型結構流體沖擊響應、控制與實驗方法研究」為依託，將模糊自適應控制應用於船舶的航向控制，這些研究將對我國船舶自動化水平的提高具有較大現實意義。This passage presents a model of fuzzy query control, which absorbs two kinds of conceptions that is dma and clustering algorithm, with the clustering algorithm as the most basic groundwork
本文提出了一種模糊查詢控制的模型，這個模型吸收了兩種思想，即有窮自動機思想和聚類分組演算法，基礎是採用了分組演算法。Developing a software for the testing machine measuring and controlling system. the software can automatically switch control mode according to standard in the process of tensile testing and automatically judge constitutive mode of material. at the same time, it can automatically measure elastic modulus e, yield strength o s, proof strength, non - proportional extention o 0. 2, percentage extention 8, tensile strength o b, etc. it can applied in industry practice
在經典pid控制與模糊控制的基礎上，設計了模糊自適應pid控制應用於試驗機的應力、應變及位移控制； 3 、開發了一套完整的試驗機測控系統軟體，能在試樣拉伸過程中按標準自動切換控制方式並自動判別材料本構模式，能夠自動測定彈性模量e 、屈服限_ s 、條件屈服限_ （ 0 . 2 ） 、延伸率、強度限_ b等，應用於工程實際。In this thesis, based on a digital signal processor tms320f240, a controller for pmsm is researched an designed. we analyzes the mathematics model of pmsm, researchs vector control of pmsm and space vector pwm, discusses the controller of position, speed and current, designs the mrfas position controller, pid speed controller and pid current controller, sets up pmsm ac servo control system, designs dsp controller, and develop the corresponding sofeware. at last, the designed controller is simulated under matlab / simulink, and the results are gived
分析了水磁同步電機的數學模型，研究了永磁同步電機的矢量控制方法和空間矢量脈寬調制原理，討論了位置環、速度環和電流環的控制方法，設計了模型參考模糊自適應位置控制器、 pi速度器和pi電流控制器，組建了永磁同步電機交流伺服控制系統，設計dsp控制器，並開發了相應的軟體。最後在matlab simulink環境下對系統進行了動態模擬，並給出了模擬結果。In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely
在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。Several properties of two operators of fuzzy finite aatomata
模糊有限自動機兩個運算元的若干性質This paper is concerned with the classification of fuzzy finite automata and the minimization algorithm of fuzzy finite automata
本文研究了模糊有限自動機的分類和模糊有限自動機的狀態最小化演算法。Based on this classification, some important types of fuzzy finite automaton are classified. in the meantime, the relations among these fuzzy finite automata in same models are obtained
同時，在新分類中，在同一類型中的各種原模糊有限自動機類型之間的等價或從屬關系被證明和獲得。Fuzzy control is a kind of computer numerical control based on fuzzy set theory, fuzzy linguistic - variable and fuzzy logical reasoning, in which the experience of skilled operators and the knowledge of experts are summed up into the control rules in the form of " if. . then. . ",
模糊自動控制是以模糊集合論、模糊語言變量及模糊邏輯推理為基礎的計算機數字控制。它將操作人員的控制經驗和專家知識總結成一系列「如果…則… 」形式的控制規則，即模糊條件語句;然後經過模糊邏輯推理而得到控製作用。With the help of simulink, fuzzy logic box provided by matlab, s - functions are written in c and m files. the output plots of heading and rudder angle can be obtained. the experiments are performed to test the disturbance rejection properties of the fuzzy model reference adaptive control compared with fuzzy control
利用matlab提供的simulink動態模擬環境，模糊邏輯工具箱及s -函數，將模型參考模糊自適應控制運用於船舶操舵系統，觀察航向及舵角輸出曲線，然後考慮風、浪及其它隨機干擾，分析系統的抗干擾性。An approach of learning fuzzy rules based on learning automata arrays
基於學習自動機陣列的模糊規則學習方法Traditional inertial mechanized - platform uses velocities to damp the system attitude to improve the precision of attitude, when the system acceleration is small. referring to the idea, this paper designeda damp kalman filter in strap - down attitude heading reference system ( ahrs ). the new method makes use of 3 - d accelerometer ' s measurements to estimate the system attitude, which is measured to compensate attitude errors. because the acceleration affected the precision of fiher directly, the fuzzy adaptive system was presented. the fuzzy logic inputs are three accelerations and the output is to control the measurement noise covariance matrix. simulations and experimental results prove that the damp algorithm can damp most of schuler oscillation and foucauh oscillation, so that to assure the filter convergence and efficiently improve the precision of strap - down ahrs
在系統機動性不強的情況下，傳統的平臺內阻尼演算法將系統本身的速度信息通過阻尼網路加到系統中，達到提高姿態角精度的目的.將這種平臺內阻尼的思想引入到捷聯慣性航姿系統中，在系統加速度較小的情況下，利用加速度計的輸出估計系統姿態角，通過卡爾曼濾波的形式補償系統姿態誤差.由於加速度的大小直接影響濾波器精度，本文設計了模糊自適應卡爾曼濾波演算法，根據三軸加速度計的輸出調整內阻尼量測誤差方差陣，從而避免了濾波器的發散.模擬和實驗驗證，內阻尼演算法可明顯抑制舒勒周期振蕩和傅科周期振蕩，避免了系統姿態漂移，有效提高了捷聯慣性航姿系統的精度Fuzzy nerve network vibration control of flexible intelligent beam structures under random excitation
隨機激勵下柔性智能梁結構振動的模糊自適應控制This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically. we end this chapter with some problems in the future. in chapter 2, we present an evolution strategy to infer fuzzy finite - state automaton, the fitness function of a generated automaton with respect to the set of examples of a fuzzy language, the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given
目前，國內外對神經網路與自動機的結合的研究己取得了一系列成果；在第一章，我們首先將對這些結果以及這個領域的研究思想與方法做一個概要的介紹；然後提出一種推導模糊有限狀態自動機的構造性演算法，解決了模擬實驗中所給出的具體網路的隱藏層神經元個數的確定問題；在實驗中，我們首先將樣本輸入帶1個隱藏層神經元的反饋網路訓練， 150個紀元以後增加神經元，此時的新網路在124紀元時收斂；而blanco [ 3 ]的固定性網路學習好相同的樣本需要432個紀元。So a fast pattern matching algorithm on mass string assemble has been proposed to solve the problem of fuzzy matching between a string pattern and a string assemble. to make the algorithm cost - effective in space and time, we have developed an optimized trie - tree structure to store the string assemble and introduced the knuth - morris - pratt ( kmp ) and finite - automata ( fa ) string matching thought to our algorithm. the algorithm has been describled in details and the cost of space and run time has been analized in the thesis
為了實現漢字輸入碼的不完整輸入，解決帶有模糊輸入符的字元串模式與一個字元串集合之間的匹配問題，論文在第三章提出一種海量字元串集合的模式匹配演算法，給出了演算法的具體實現和復雜度分析，並且提出一種優化的檢索樹結構來存儲字元串集合以節省內存空間。為了提高演算法的運行速度，演算法還引入了kmp模式匹配和有限自動機匹配的思想。As a special case of lattice - valued finite state automata, mizumoto fuzzy finite state automaton is considred. furthermore, we obtain a minimization algorithm of mizumoto fuzzy automata. we obtain our results mainly by compare and contrast, analysis and synthesis, induction and reduction to absurdity
此外，本文對格值有限狀態自動機的一種特殊類型? ? mizumoto型模糊有限狀態自動機的狀態最小化約簡問題也作了一些探討，給出了mizumoto型模糊有限狀態自動機的一種狀態最小化約簡演算法。From the equivalence relation, a minimal form is defined and a minimization algorithm of the mizumoto type of fuzzy finite automata is obtained. in chapter 4, quantum automata are introduced. we compare and contrast quantum automata with fuzzy finite automata, obtain some elementary relations and leave a set of open questions
在第四章中，首先了介紹量子自動機的概念，然後著重比較量子自動機與一種模糊有限自動機（即mizumoto型模糊有限自動機）之間的異同點，得到了量子自動機與模糊有限自動機關系的一些初步想法。During running, computer deal with fuzzy rules and carry out the best adjust of pid parameters. we programmed with modularization idea of labview, we achieved to set the test parameter, data acquisition, data processing and result display, communication with the optic testing instrument. we also achieved to drive no - ni daq and efficiency the system software by use multitasks
設計中通過對ld和pd的電流進行采樣構成acc和apc兩種電流控制方式對ld驅動電流進行閉環控制;採用參數模糊自整定pid控制演算法，實現對溫度的控制，在線運行過程中，計算機對模糊規則結果處理、查表和運算，完成對pid參數的最佳調整。分享友人