根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
采用系统辨识的最小二乘法的改进算法，确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
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.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
使用预测输出，在线辨识电机参数，通过模糊控制器完成对参考信号的跟踪。
Through predictive output and identification of motor's parameters on line, this fuzzy control method ensured the output to track the reference signals.
本文给出了一种间接自适应模糊控制器，它通过在线模糊系统辨识得到控制对象的模型，然后根据所得模型在线地设计模糊控制器。
The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.
该控制器用具有改进学习算法的神经网络作pid参数调节器，用模糊神经网络对被控对象进行模型辨识。
In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects.
根据模糊控制器的解析结构，基于极限结构理论对模糊控制器规则进行结构辨识。
This paper presents a research on the structure of fuzzy controller's rules based on the limiting structure theorem.
本文提出了一种模糊控制算法。利用传感器采集外部环境信息，在辨识获得精确模型的基础上，基于模糊推理，使机器人能够顺利完成火源追踪等任务。
In this paper, a fuzzy control algorithm was applied. With the sensors' messages, based on precise identification result and fuzzy inference, the robot can track fire successfully.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
根据模糊控制器的解析结构，基于极限结构理论对模糊控制器规则进行结构辨识。
It analyses the controller qualitatively and quantitatively on the base of analytical structures theory research, the analysis and simulation r.
根据模糊控制器的解析结构，基于极限结构理论对模糊控制器规则进行结构辨识。
It analyses the controller qualitatively and quantitatively on the base of analytical structures theory research, the analysis and simulation r.
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