主要介绍控制系统的构成、信息识别方法、神经模糊控制器设计及其在实际中的应用结果。
This paper introduces the constitution of the system, methods of information recognition, the design of the neural-fuzzy controller and the practical application.
提出基于自适应网络模糊推理系统(ANFIS)的神经模糊控制器作为船舶减摇鳍系统的控制装置。
In this paper, we present an Adaptive Network-based fuzzy Inference system (ANFIS), based on a neuro-fuzzy controller, as a possible control mechanism for a ship stabilizing fin system.
本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
简要介绍了具有专家调整策略的神经网络自组织模糊控制器在食用酒精发酵温度控制中的应用。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制，提出了提取模糊规则的方法。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
针对多容对象的流量控制，提出一种模糊神经网络控制器。
Presents a Fuzzy Neural Network Controller (FNNC) to multi capacity objects in flow control.
讨论了模糊逻辑和神经网络控制器在电液伺服位置系统中的应用。
Fuzzy logic and neural network controller and their applications in an electro hydraulic servo position system are discussed.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
针对矢量控制交流调速系统，该文提出并设计了一种基于再励学习的模糊神经网络速度控制器。
For vector control AC drive system, the thesis presented a fuzzy neural network speed controller based on reinforcement learning.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
本文以机器人为研究对象，针对其强耦合、非线性、多变量等特点，提出了一种模糊神经网络控制器组成的控制系统。
This paper USES robot as researched object that is of strong coupling, nonlinear and multi-variable characters. A control system is proposed which consists of a fuzzy neural network controller.
在玻璃钢缠绕设备的控制系统中，设计了一种新型模糊神经网络控制器。
A new fuzzy neural network controller is designed in the winding machine.
提出了一种适用于高压直流输电系统快速灵活控制的在线模糊神经直流控制器。
This paper describes an on - line controller for the fast and flexible control of the HVDC transmission system based on fuzzy logic and ANN.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
本文提出一种基于两个神经元网络的模糊参数自校正控制器，实现活性污泥过程的智能控制。
This paper puts forward a parameter self-tuning fuzzy controller based on two neural networks to actualize intelligent control of the activated sludge process.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
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