This paper devises a single neuron PID adaptive controller.
本文设计了一种单神经元pid自适应控制器。
Abstract: Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper.
摘要：针对高速公路交通系统的非线性、时变特性，设计了一种模糊自适应控制器，并将其应用于高速公路匝道控制系统。
Based on the feature of the nc system and its performance demands, this paper brings forward a self-adaptive fuzzy PID controller to realize PID parameters self-adaptive online.
针对数控机床进给系统特点及其性能要求提出了一种参数自整定模糊pid控制器，利用模糊推理的方法实现对PID参数的在线自动调整。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
By analyzing the basic principle and mathematics model of an electro-hydraulic servo unit for ship rudder, this paper designs a single neuron adaptive PID controller.
在分析了船用舵机电液伺服单元的基本原理和数学模型的基础上，设计了单神经元自适应PID控制器。
According to the characteristics of feedwater process of the drum boiler, an adaptive PID controller with process identification was introduced.
针对汽包锅炉给水过程的特点，采用了一种带在线辨识的自适应p ID控制器。
Keeping the zeros and poles of the PID unchanged, an adaptive PID controller is presented using the proposed recursive algorithm in the closed-loop system.
在确保PID零极点不变的基础上，将开环递推整定算法引入到闭环系统中，提出了自适应pid控制算法。
According to actual conditions, design a fuzzy adaptive PID controller to control the openings of the electro-hydraulic proportional valve port, implementing a safe and smooth braking.
依据实际工况，设计了一种模糊自适应PID控制器来控制电液比例调速阀阀口的开口量，实现系统的安全、平稳制动。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
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。
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。
Both sliding mode controller and PID controller are designed to realize adaptive regulation of throttle opening and ignition timing respectively.
设计了滑模控制器和PID控制器分别对节气门开度和点火时刻进行自适应调节。
The model free controller is a structure adaptive controller, which is a product of the approach of modeling and control unity and the concepts of PID and linear frame.
指出无模型控制器是一种结构自适应控制器，它是“建模与控制一体化”，冲破p、I、D和线性框架的束缚的产物。
Single neuron adaptive PID controller construction and algorithm are described.
介绍了单神经元自适应PID控制器的结构和算法。
Adaptive fuzzy controller was combined with PID controller to compose parallel control system, which was aimed at reducing static error and suppressing dynamic disturbance of the whole system.
其中直接自适应模糊控制器还与PID控制器一起组成并行控制系统来抑制系统静态误差和动态干扰。
A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller.
针对仿真转台系统的时变性、模型的不确定性等特点，提出采用基于遗传算法的PID自适应控制器，实现控制器参数的在线自寻优。
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。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
Focusing on the throttle control system of intelligent vehicle, a model reference adaptive SN-PID controller is presented.
针对智能车辆油门控制系统，提出了一种单神经元模型参考自适应控制算法。
An adaptive fuzzy PID controller with modifying rules is introduced and is compared with ordinary PID controller by simulation on step response and response of 15 operating modes.
提出一种带修正因子规则的模糊pid控制，分别用这种控制器和常规pid控制器对阶跃信号和车辆的15工况进行仿真分析。
In chapter 4 we stress the application of fuzzy adaptive PID controller which combines fuzzy control and PID control technology in cutting line position control system.
其中在第四章重点论述了模糊控制方法与PID控制技术相结合的模糊自适应PID控制器在剪切线位置控制系统中的应用。
The experimental results show the single neuron PID can take the place of traditional PID controller and it has simple structure and can be implemented easily with strong self-adaptive ability.
实验结果表明：单神经元pid控制器可以代替传统的PID控制器，其结构简单、易于实现并且具有较强的自适应能力。
Apply fuzzy self-adaptive PID controller to control the DC timing system and design three self-adaptive PID controllers which adjust the PID parameters respectively in real-time way.
利用模糊自适应PID控制器对直流调速系统进行控制，设计了三个自适应模糊控制器分别实时调整PID参数。
This paper introduces the single neural cell adaptive control based on the traditional PID controller and puts the optimization goal of the engine speed control system.
本文在常规的PID控制的基础上引入单神经元自适应控制，提出了发动机转速控制的优化目标。
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。
Analyses the inadequacy of the PID controller in current application, give a fuzzy adaptive PID controller and simulate with MATLAB simulation software.
分析了目前应用的PID控制器的不足，提出了一种模糊自适应PID控制器，并利用MATLAB软件对其进行了仿真。
The self-adaptive theory is introduced into the control system and parameters of the PID controller are adjusted automatically under the self-tuning PID control law.
把自适应控制理论引入到微驱动器的控制中，在参数自校正PID控制律的作用下，实现了PID控制器参数的自动整定。
According to the characteristics and control quality for tensile force of paper, the module of control system is estimated and a fuzzy PID controller with adaptive ability is put forward in the paper.
根据造纸过程中纸张张力的特点及控制要求，建立了控制系统的数学模型，提出了一种具有自适应能力的模糊pid控制器，分析了控制器的结构和规则。
An adaptive PID controller Which utilizes a BP network is also devised in the force control loop. This network can identify the dynamics of the contacting environment.
在力控制环建立了基于BP网络的自适应pid控制器，该网络可辩识所接触环境的动力学特性。
An adaptive PID controller Which utilizes a BP network is also devised in the force control loop. This network can identify the dynamics of the contacting environment.
在力控制环建立了基于BP网络的自适应pid控制器，该网络可辩识所接触环境的动力学特性。
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