Output tracking control problem based on fuzzy logic system 基于模糊邏輯系統的輸出跟蹤控制問題
Missile launch envelope approximation based on fuzzy logic system 基于模糊邏輯系統的空空導彈攻擊區擬合
Dynamic behavior modeling of nonlinear circuit based on fuzzy logic systems 基于模糊邏輯的電路非線性動態特性模型
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算法
Recently , neuro - fuzzy control base on the neural network theory and fuzzy logic system was used widely and successfully 近年來,基于神經網絡和模糊邏輯的神經模糊控制得到了廣泛的應用。
The conclusion is obtained that in fuzzy logic systems there exists the completely similar reasoning mechanism to fuzzy reasoning 由此得出模糊邏輯系統中存在著與模糊推理fmp規則完全相似的推理機制。
In the adaptive algorithm , the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error 自適應算法中,不但跟蹤誤差而且辨識誤差都參與模糊邏輯系統中的參數調節。
It can be extended to fuzzy logic systems and some lattice - valued logic systems . 3 . the study on automated reasoning a new automated reasoning method based on path searching was proposed 2 、提出一種利用神經邏輯單元動態地構造神經網絡的算法來對一些邏輯系統中的邏輯公式的真值進行計算。
Fuzzy t - s model and fuzzy observer are used to model the nonlinear systems . the adaptive fuzzy logic systems are introduced to eliminate the effect of the modeling errors for the system stability 采用模糊t - s模型和模糊觀測器對非線性系統建模,引入自適應模糊邏輯系統補償器用來消除建模誤差對系統穩定性的影響。
The three main methods ( neural network , fuzzy logic system and ga ) of intelligent control are studied in the paper , and they are proved to be reasonable and practical 本文對智能控制中的三個主要方法神經網絡、模糊邏輯和遺傳算法在船舶動力定位系統中的應用進行了全面的分析和研究,并通過仿真實驗驗證了所研究技術的合理性和實用性。