It is introduced how to build the PID neural network control system, which is applied to the real-time control of furnace temperature.
介绍基于以太网的PID神经网络控制系统的构建及实时控制过程。
In this dissertation, theoretical and numerical simulation studies have been conducted about structure vibration control with MR dampers, wire rope isolators and neural network PID control strategy.
本文利用神经网络PID控制算法，对使用磁流变阻尼器和钢丝绳减振器的舰用智能减振抗冲元件进行了理论和仿真研究。
The arithmetic of PID control based on neural network can obtain small speed overshoot and strong anti-interference feature.
在抗干扰特性方面，基于神经网络的PID控制算法有较小的波动，而且调节时间较短；
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
结合CMAC神经网络控制算法与PID控制算法设计了船舶发电机励磁并行控制系统。
The adapted-self tune-up for PID control was completed through learning-self of neural network.
通过神经网络的自学习、实现PID控制参数的自适应调整。
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。
A neural network PID control algorithm is presented to improve the PID adaptive control performance.
为提高PID控制的自适应性能，提出了一种神经网络PID自适应控制算法。
This paper designed a control model, which is constructed based on CMAC neural network and combined with a PID controller.
提出利用CMAC神经网络与PID的复合控制，实现非线性系统控制。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
The PID autopilot control method based on the neural network is provided for ship course keeping.
提出一种基于神经网络的PID自动舵控制方法。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
On this basis, improved particle swarm optimization based on the magnetic bearing neural network PID control scheme is proposed.
在此基础上，提出基于改进粒子群算法优化的磁轴承神经网络PID控制方案。
The computer simulation results show that the neural network supervisory control has more adaptive ability and robust than that of a PID controller, and the control precision is increased.
对压水堆功率控制过程进行了计算机仿真，仿真结果表明，与传统的PID控制相比，神经网络监督控制具有较强的自适应能力和鲁棒性，有效地提高了控制系统的精度。
To overcome the mismatch, with the backward, non-linear characteristics of temperature control of dope production, the paper introduces the predictive controls based on the neural network PID.
为了克服这种不协调现象，针对涂料生产线中温度控制大滞后、非线性等特点，本文在神经网络PID控制的基础上，引入预测控制思想。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
The temperature control of dew point humidifier in a fuel cell testing system is studied. A kind of separate integral PID control algorithm based on BP neural network is put forward.
对燃料电池测试系统中露点加湿器的温度控制进行研究，提出了一种用BP神经网络进行参数整定、积分分离的PID控制算法。
Using the capacity of arbitrary nonlinear expressiveness, neural network can help to achieve the best control through learning systemic performance and adjusting automatically PID parameter.
利用神经网络的任意非线性表达能力，通过对系统的学习来调整PID参数，实现最优的PID控制。
PID neural network was designed for electro-hydraulic bending control system.
针对电液弯辊伺服控制系统，设计了PID神经网络控制器。
To improve robustness of control system, the paper analyses the influence of nonlinear factors and introduces the neural network PID auto adaptive control to reduce the influence.
为了增强系统的鲁棒性，论文在分析非线性因素对系统的影响后，利用神经pid自适应控制实现了对这些因素的有效抑制。
This paper presents a new kind of intelligence PID control method on BP neural network and some of basic concepts about BP neural network.
本文提出一种基于BP神经网络的新型智能PID控制方法和一些BP神经网络的基本概念。
On the base of a great deal of reference literatures, intelligent PID control algorithm of ship roll motion based on dyadic wavelet neural network has been proposed.
在研究大量参考文献的基础上，本文提出了船舶横摇运动基于二进小波神经网络整定的智能PID控制算法。
Neural network PID adaptive control scheme was used to enhance the performance of piezoelectric phase shifter by improving the nonlinear performance and depressing the interference of environment.
采用了神经网络PID自适应控制方法，改善了非线性，降低了环境干扰的影响，提高了压电式 移相器的性能。
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。
Last we apply the neural network PID control method to temperature control system for a water bath, experimental results show that the present method provides an excellent control results.
最后，将神经网络PID控制器取代基本PID控制器用在浴室水箱温度控制中，仿真结果表明这种控制方法有很好的控制效果。
Last we apply the neural network PID control method to temperature control system for a water bath, experimental results show that the present method provides an excellent control results.
最后，将神经网络PID控制器取代基本PID控制器用在浴室水箱温度控制中，仿真结果表明这种控制方法有很好的控制效果。
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