Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.
在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。
The method includes three modules: fuzzy equivalent interference estimator, neural network interference predictor, and fuzzy call admission processor.
包括三个模块：模糊等效干扰估计器、神经网络干扰预测器以及模糊呼叫接纳处理器。
Simulation results show that this fuzzy-neural network estimator can precisely measure the value of resistance and improve the low-speed performances of DTC system efficiently.
仿真结果表明了模糊神经网络观测器可实现对定子电阻的精确检测，从而提高直接转矩控制系统的低速性能。
This paper presents a kind of direct torque control with a stator resistance estimator for an AC motor speed-governing system based on fuzzy logic control.
介绍一种基于模糊控制理论的定子电阻辨识器的直接转矩控制交流电机调速系统。
This paper presents a kind of direct torque control with a stator resistance estimator for an AC motor speed-governing system based on fuzzy logic control.
介绍一种基于模糊控制理论的定子电阻辨识器的直接转矩控制交流电机调速系统。
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