fuzzy control systems 中文意思是什麼

fuzzy control systems 解釋
模糊控制系統
  • 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...
  • systems : 國體
  1. Passivity control for uncertain t - s fuzzy descriptor systems

    模糊廣義系統的無源控制
  2. By utilizing expert experience and language information, analyzing, modeling and control of many industrial complex plants can be handled effectively by fuzzy control technology, which otherwise will be very hard by approaches of traditional control theory, if not impossible. in addition, these complex plants can be controlled easily even without exact mathematical models, so fuzzy control has become a popular topic for analysis and design of complex nonlinear systems

    傳統控制理論難以解決復雜非線性系統分析、建模與控制問題，而模糊控制技術由於能夠方便地利用專家經驗及語言信息，甚至無需建立系統數學模型即可對系統進行控制，目前已逐漸成為復雜非線性系統分析與設計所採用的主要方法之一。
  3. Properties and stability analysis of fuzzy control systems employing standard fuzzy partition inputs

    輸入採用標準模糊分劃的模糊控制系統性質及穩定性分析
  4. For other auto - control systems, different fuzzy algorithm are put forward individuel in this paper also. the controlling algorithm of the main controlling system is studyed and simulated. the simulation experiments manifest that the controlling system has small exceeding value and good stability when using this algorithm

    掘此，本文對主控制系統提出了控制規則可調整的自尋優智能控制演算法和其它控制系統的模糊控制演算法，並對主控制演算法進行了研究和模擬。
  5. Jen - yang chen, “ hybrid model - based fuzzy control, ” ieee conf. on fuzzy systems, pp. 1126 - 1131, may, 2002

    陳珍源，劉丁強， 」智慧導向之小腦控制系統， 」中華技術學院論文發表研討會， 91年4月
  6. Stability and stabilization are the most basic problems in analysis and design of fuzzy control systems

    穩定性與相應的鎮定問題是模糊控制系統分析與設計的基本問題。
  7. A survey of the development of neural networks, the neuro - control systems and fuzzy control system is summarized

    綜述了神經元網路和神經控制的發展與狀況、模糊控制的研究狀況； 2
  8. 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。
  9. In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively

    本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。
  10. 5. the control systems of the heater are designed by the adaptive fuzzy neuron control arithmetic. the step response curve is got. the results show their nice performances

    針對實驗室電加熱爐系統，使用自適應模糊單神經元控制演算法進行控制系統的設計，得出階躍響應曲線，取得了滿意的控制效果。
  11. Fuzzy controller design and stability analysis for flight control systems

    飛控系統模糊控制器設計及穩定性分析
  12. Comparing fuzzy control with optimal control, it is found that the fuzzy control of a class of second order systems is actually a near - optimal control

    通過二階系統的模糊控制和時間最優控制的對比發現，一類二階系統或可近似為二階系統的模糊控制實際上是對二階系統最優控制的一種近似。
  13. Abstract : a new green air - condition system is designed. it consists of 4 sub - systems : intellectual database, chaotic, neural work and fuzzy control. the new system can produce natural temperature and green environment

    文摘:提出一個新的綠色空調系統，由智能數據庫、神經網路、混沌信號、模糊控制器四大子系統組成，可以產生模擬自然界的用戶自己喜歡的氣溫變化，使用戶可以微風拂面、春風徐徐
  14. Simulation analysis of the fuzzy control of air suspension systems

    空氣懸架系統模糊控制模擬分析
  15. Experimental research on applying fuzzy logic systems to active vibration control of flexible structures

    機械可靠性設計的虛擬變量演算法
  16. In most of these neuro - fuzzy modeling methods, the anfis ( adaptive - network - based fuzzy inference systems ) method which was proposed by jang in 1993 is the most prominent one, its adaptive property made it possible to be used in adaptive control and learning control directly. in fact, it can replace any neural network of the control systems and carry out the same function. however, it has the same problem as most of the neuro - fuzzy systems - rule explosion problem

    在眾多的神經模糊建模方法中，數jang於1994年提出的anfis -自適應神經模糊建模方法最為突出，它的自適應性質使得它幾乎可直接應用於自適應控制和學習控制；事實上，它可以替代控制系統的任意神經元網路並執行同樣的功能。
  17. 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。
  18. The variable - frequency of the fan control is realized by using the method of total volume air control of vav systems, at the same time, fuzzy - control is applied in terminate controller to make the system get a certain energy consumption

    通過引入變風量空調系統總風量控制方法的設計思路對風機進行變頻控制，同時對末端控制器採用模糊控制技術，使得整個空調系統達到一定的節能目的。
  19. Li zheng ， shao shi - huang ， an approach to a cw - based fuzzy control systems ， journal of china textile university ， march 31 ， vol. 15, 1998

    李征，邵世煌，基於信息粒化、語詞計算模糊控制中的信息重組，中國紡織大學學報， 2000年第2期。
  20. An analytical study on structure and robustness of fuzzy control systems

    模糊控制系統的解析結構與魯棒性分析
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