Output tracking control problem based on fuzzy logic system 基于模糊逻辑系统的输出跟踪控制问题
Missile launch envelope approximation based on fuzzy logic system 基于模糊逻辑系统的空空导弹攻击区拟合
Dynamic behavior modeling of nonlinear circuit based on fuzzy logic systems 基于模糊逻辑的电路非线性动态特性模型
Experimental research on applying fuzzy logic systems to active vibration control of flexible structures 机械可靠性设计的虚拟变量算法
Recently , neuro - fuzzy control base on the neural network theory and fuzzy logic system was used widely and successfully 近年来,基于神经网络和模糊逻辑的神经模糊控制得到了广泛的应用。
The conclusion is obtained that in fuzzy logic systems there exists the completely similar reasoning mechanism to fuzzy reasoning 由此得出模糊逻辑系统中存在着与模糊推理fmp规则完全相似的推理机制。
In the adaptive algorithm , the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error 自适应算法中,不但跟踪误差而且辨识误差都参与模糊逻辑系统中的参数调节。
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 、提出一种利用神经逻辑单元动态地构造神经网络的算法来对一些逻辑系统中的逻辑公式的真值进行计算。
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模型和模糊观测器对非线性系统建模,引入自适应模糊逻辑系统补偿器用来消除建模误差对系统稳定性的影响。
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 本文对智能控制中的三个主要方法神经网络、模糊逻辑和遗传算法在船舶动力定位系统中的应用进行了全面的分析和研究,并通过仿真实验验证了所研究技术的合理性和实用性。