The text has discussed the neural network PID controller mainly.
本文主要研究了神经网络PID控制器。
It is proposed a magnetic bearing BP neural network PID controller design.
提出磁轴承bp神经网络PID控制器设计方案。
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。
The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.
并用这种改进的共轭梯度法对神经网络PID控制器参数实现在线修正。
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。
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。
Then the Neural Network PID control is realised in the model. This method makes full use of nonlinear function approximation of the Neural Network.
这种方法充分利用了神经网络的非线性函数逼近能力，构造神经网络自整定PID控制器。
The emulational results show that the improved BP neural network PID enables the convergence to be faster and the system has strong robustness and self-adaptive.
仿真结果表明，改进BP神经网络PID使收敛变得更快，而且系统具有较强的鲁棒性和自适应能力。
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。
The BP neural network PID control method is applied to temperature control system in industry field. The simulation results show that the control method has high control accuracy,...
把BP神经网络的PID控制方法应用到工业领域的温度控制系统中，仿真结果表明：这种控制方法具有较高控制精度和较强的适应性以及良好的控制效果。
The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.
针对包装印刷传动位置伺服系统，介绍一种基于共轭梯度学习算法的神经网络自适应PID控制方法。
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。
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。
Finally, this paper presents an improved model of the magnetic chain, using a single neural network PID controller to adjust the stator flux, and set up the corresponding flux estimation model.
最后本论文提出了一种改进的磁链模型，引入了单神经元网络PID控制器来调节定子磁链，并建立了相应的磁链模型。
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。
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。
Neural network intelligence PID controller has many advanced properties compared with traditional PID controller.
同传统的PID控制相比较，神经网络智能PID控制有许多优点。
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。
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。
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。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
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；
In this paper, a new automatic tuning method of PID controller based on dynamic neural network is proposed and an online parameter tuning algorithm is given out.
提出一种基于动态神经网络的PID控制器，给出pid参数在线自整定学习控制算法，并进行了算法仿真研究。
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。
Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.
在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。
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。
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。
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