fuzzy control inference system 中文意思是什麼

fuzzy control inference system 解釋
模糊控制推理（晶元實驗）系統
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  • control : n 1 支配，管理，管制，統制，控制；監督。2 抑制（力）；壓制，節制，拘束；【農業】防治。3 檢查；核...
  • inference : n. 1. 推理，推論；推斷，結論，論斷；含蓄，含意。2. 推斷的結果；（邏輯上的）結論。
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function

    3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。
  2. Abstract : according to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved

    文摘:根據電阻爐溫控制的特點，即只有升溫單向控制、滯后較大且具有參數時變性，利用模糊推理合成法建立模糊模型並進行模糊控制器設計，為提高模糊控制的精度，引入模糊變量k ，構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數，使系統的穩態精度得到改善
  3. According to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved

    根據電阻爐溫控制的特點，即只有升溫單向控制、滯后較大且具有參數時變性，利用模糊推理合成法建立模糊模型並進行模糊控制器設計，為提高模糊控制的精度，引入模糊變量k ，構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數，使系統的穩態精度得到改善
  4. The aspects from the collection, acquisition, expression of knowledge, the construction, maintenance of knowledge base and the inference engine control strategy to the user interface, orientation - object modularization design, fuzzy evaluation sub - system are discussed

    從知識收集、獲取、表示以及知識庫的結構、推理機的控制策略、人機介面、知識庫的維護、面向對象的模塊化設計以及模糊評價子系統等方面進行了探討。
  5. From the technique of database realizing, discuss the structure of fuzzy diagnosis expert system, knowledge base, inference engine and the database realizing. what ' s more, discuss the system structure of distributed fuzzy diagnosis expert system, the decomposition strategy of diagnosis assignment in and the distributed fuzzy diagnosis expert harmonizing and control of multi - level blackboard model, realize the distributed fuzzy expert diagnosis by database

    從數據庫實現技術的角度出發，論述了模糊診斷專家系統的系統結構、知識庫結構、推理機制以及系統的數據庫實現，從而進一步闡述分散式模糊診斷專家系統的系統框架、分散式系統的診斷任務的分解策略以及多級黑板結構的分散式模糊診斷專家的協調與控制，實現利用數據庫技術的分散式模糊專家診斷。
  6. Application of adaptive network - based fuzzy inference system in structural vibration active control

    自適應神經網路模糊推理系統在結構振動主動控制中的研究
  7. In this thesis, anfis ? adaptive network - based fuzzy inference system is applied to the control system

    本文將自適應網路模糊推理系統- anfis運用於控制系統。
  8. So, the fuzzy control table is gotten by matlab software. fuzzy inference system toolbox for matlab also validates the veracity of table

    為此，本文用matlab軟體計算得到了模糊控製表，並在matlab軟體的模糊推理系統工具箱中得到了驗證。
  9. Co value and fog value is the input variable of fuzzy system, pass through fuzzy, fuzzy rules, fuzzy inference and fuzzy decision - making, a fuzzy control table that can be used directly in ventilation control program is gotten

    採用一氧化碳濃度和煙霧濃度作為模糊系統的輸入變量，經過模糊化、模糊控制規則的確定、模糊推理、模糊判決四個步驟，最終確定出可以直接用於通風控制編程使用的模糊控製表。
  10. In this paper, the upper - class intelligent control scheme is adopted according to the characteristics of tobacco re - dryer and the present control condition in order to solve the problem that the output tobacco moisture can ? keep stable. that is, to keep the old every pid control link, to add the upper - class computer so that sets up the upper - class intelligent control system that consists of the description management sub - system, the fuzzy compensation on line sub - system and the self - learning system. the following are control procedure : first of all, a series of output values of description can be obtained by the forward inference of basic controller on the basis of the information of input tobacco, then, these output values can be adjusted by the fuzzy compensation controller with inquiring the fuzzy control - list on line in the light of the output tobacco moisture error

    本文針對烤機的工藝特點和目前控制現狀，提出用上位智能控制的方法解決烤機目前存在的問題，即在保留原有各段pid控制的基礎上，增加上位計算機，建立起由配方管理子系統、模糊在線修正子系統和自學習系統組成的上位計算機監控、決策的智能控制系統；控制過程為：基本配方控制器根據來料信息正向推理提供煙葉復烤機各段參數設定值的基值；模糊補償控制器根據煙葉水分偏差在線查詢模糊控製表提供相應參數設定值的修正值，實現煙葉復烤機參數的在線修正；學習環節的引入實現煙葉配方的在線優化。
  11. Fuzzy inference system ( fis ) module, control system module and simulink module are used in the simulation of mrfac system and a set of lest and best control rules are found by " error trial ". it proves that high precision control is realized and the hydraulic mrfac system can achieve dynamic and static performance in this paper

    本文就是利用matlab軟體中的模糊推理系統工具箱、控制系統工具箱和simulink工具箱對液壓伺服模型參考模糊自適應控制系統進行模擬，用「試錯法」找出一組數目最少且能夠實現最優控制的條件語句，使系統的動穩態性能得到了大大地提高，基本上實現了超調小，響應速度快地實時控制。
  12. 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。
  13. For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively

    本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。
  14. The dissertation accomplished the design of a fuzzy controller on the organization of the secondary combustion, how to build the fuzzy control rules, a principium design of the total fuzzy control system and a principium design of the experimental system used for accumulating inference rules

    論文完成了二次燃燒組織的模糊控制器的初步設計，噴霧燃燒模糊控制規則的建立方法、步驟和整個模糊控制系統的初步設計，以及積累經驗控制規則的實驗系統設計。
  15. The simulation results indicate that the parallel robot control can achieve much better effect than the traditional method by means of fuzzy control only if the abundant control experience and correct inference rules are available. as the simulation result showing, the anfis achieves the same satisfying effect with successful fuzzy control without requiring any control experience. the anfis can adjust the parameters of fuzzy inference system automatically and eliminate the influence of interfere signal on the base of adequate training samples

    在缺乏實驗條件的情況下，通過對不同控制策略的模擬比較研究，說明了在具備系統的先驗知識和成熟的模糊規則的基礎上，對並聯機器人採取模糊控制能取得比採取傳統控制要好得多的效果，而anfis則能在毫無經驗的情況下，通過自動調整隸屬函數參數，自動建立符合系統變量特徵的控制模型和模糊推理規則，並能夠排除噪聲等干擾信號的影響，取得了與依賴專家知識進行控制一樣的效果，這也是模糊神經網路控制的優勢所在。
  16. It is a kind of intelligence information control system which can imitate human ' s fuzzy inference. it is provded that it have universal approximation property

    它是一種模仿人腦的模糊推理的智能信息處理系統，已證明它具有很強的非線性逼近能力。
  17. Taking advantage of the good points of the fuzzy control adjusting the flow rate of the pump according to the variation of the external load by fuzzy inference, the energy saving of the excavator is accomplished without the help of the modelling of its whole complex system

    此方案利用模糊控制的優點，繞過對挖掘機復雜來系統模型的建立，通過模糊推理演算法，根據外負載的變化動態調整泵的流量，達到節能的目的。
  18. And then, the trained neural networks replace the fuzzy inference system in the online control system. an adaptive self - adjust unit is used to boost the system up and to reduce the static errors of the system

    該控制器還增加了自適應調整機構，通過對比例系數的調整達到增強系統的快速性和減少系統的靜態誤差的目的。
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