The neural network controller compensates for the coupling effect.
神经网络控制补偿耦合效应。
A new fuzzy neural network controller is designed in the winding machine.
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 locally recurrent neural network controller based on neural network is proposed.
基于人工神经网络提出了一种局部递归神经网络控制器。
Fuzzy logic and neural network controller and their applications in an electro hydraulic servo position system are discussed.
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。
Results show that the developed neural network controller has good performance of velocity tracking, and control efficacy is obvious.
结果表明，所开发的神经网络控制器具有良好的车速跟踪性能，控制效果明显。
A new neural network controller is proposed based on the PID controller structure. Its basic structures and learning algorithm are analysed.
根据PID控制结构提出了一种新型神经网络控制器，对其基本结构和学习算法等进行了分析。
A neural network controller is designed based on reinforcement learning neural network framework to achieve adaptive control of velocity tracking.
然后基于强化学习神经网络结构设计神经网络控制器以取得车速跟踪的自适应控制。
This paper designs a diesel controller which contains a parameter_optimizing PID controller and a neural network controller based on model of diesel.
针对柴油机模型自身的特点，设计了一种神经网络与参数自寻优pid控制相结合的控制器。
This paper presents a neural network control system based on CMAC, which consists of a CMAC neural network controller and a BP network model identifier.
提出了一种基于CMAC神经网络控制系统，该系统由CMAC神经网络控制器和BP模型辨识网络组成。
DSP technology and fuzzy neural network structure presented in the paper pave the way for the engineering application of fuzzy neural network controller.
DSP技术以及本文所提出的模糊神经网络结构为模糊神经网络控制在工程中的应用开辟了一条新路。
To correct the power factor, the controlling effect of both neural network controller (NNC) and current mode controller (CMC) is researched in this paper.
为改善功率因数，对神经网络控制器(NNC)与电流模式控制器(CMC)的控制效果进行了仿真比较研究。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
From the points view from actual industrial use, the applications and design procedures of fuzzy neural network controller are researched in this dissertation.
从工程实际应用的角度出发，对模糊神经网络控制器的整个设计环节及应用过程进行了研究。
The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error.
常规控制器对系统给出粗略控制，神经网络控制器给出补偿信号来进一步减小系统输出跟踪误差。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
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。
Simulation results show that the design of the fuzzy neural network controller can reduce the average delay of vehicles effectively, and meet the demand for real-time control.
仿真结果表明，本文设计的模糊神经网络控制器能够有效降低车辆平均延误，满足实时控制的要求。
Numerical results show that the recurrent back propagation control neural network controller has good effectiveness for various kinds of reference speeds of the ultrasonic motor.
模拟实验结果表明，递归反向传播控制神经网络对多种形式的超声马达参考速度都有很好的控制效果。
This paper focused on the hardware realization of flexible pneumatic finger's intelligent control strategy, and a flexible pneumatic finger's neural network controller was designed.
研究了气动柔性手指智能控制策略的硬件实现，设计了气动柔性手指的神经网络控制器。
An adaptive PID control scheme based on dynamic recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
The simulation model and result are given under the environment of MATLAB. The fluctuation of wind speed can be controlled and the disturbance can be cancelled by BP neural network controller.
在MATLAB环境下给出了用BP网对变速风力发电机控制的仿真模型和仿真结果，显示采用神经网控制器控制有很好的抗风速突然波动的作用，能有效地抑制扰动。
This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
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.
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。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
Presents a Fuzzy Neural Network Controller (FNNC) to multi capacity objects in flow control.
针对多容对象的流量控制，提出一种模糊神经网络控制器。
Artificial Neural Network controller is proposed in this paper to design the new power flow control for SSSC.
提出了一种应用神经网络控制策略为静止同步串联补偿器(SSSC)设计的新型潮流控制器。
Artificial Neural Network controller is proposed in this paper to design the new power flow control for SSSC.
提出了一种应用神经网络控制策略为静止同步串联补偿器(SSSC)设计的新型潮流控制器。
应用推荐