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[Other resource] 一种基于模糊径向基函数神经网络的自学习控制器 DL : 0: 一种基于模糊径向基函数神经网络的自学习控制器-based on fuzzy RBF neural network learning controller.
Update : 2008-10-13 Size : 176.27kb Publisher : 方锐
[Other resource] chap4_10 DL : 0: 基于模糊RBF网络整定的PID控制，matlab源程序-based on fuzzy RBF network tuning PID control, Matlab source
Update : 2008-10-13 Size : 1.49kb Publisher : 满延杰
[File Operate] TheResearchOnRBFFuzzyNeuralNetworkofElectrohydraul DL : 0: 采用模糊RBF神经网络对柴油机油门执行器位置进行控制，介绍了电液调速执行器的动态特性，设计了电液调速控制回路，本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中，详细说明了模糊RBF神经网络控制器的设计过程，它结合了传统PID以及神经网络和模糊控制的优点，可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小，且适应性强，具有推广价值。-fuzzy RBFNN right Diesel throttle actuator position control, on the speed electro-hydraulic actuator and the dynamic characteristics of the design of electro-hydraulic speed control circuit, This paper will be based on fuzzy RBFNN PID controller for speed control Diesel, a detailed description of fuzzy RBF neural network controller design process, It combines the traditional PID and neural network and fuzzy control advantages online can be an adjustment Optimal Group of PID control parameters. Simulation results show that the system than the traditional fuzzy control of the fast response, small overshoot, and adaptability, is worth promoting.
Update : 2008-10-13 Size : 58.97kb Publisher : 阳关
[AI-NN-PR] 一种基于模糊径向基函数神经网络的自学习控制器 DL : 0: 一种基于模糊径向基函数神经网络的自学习控制器-based on fuzzy RBF neural network learning controller.
Update : 2025-02-17 Size : 176kb Publisher : 方锐
[matlab] chap4_10 DL : 1: 基于模糊RBF网络整定的PID控制，matlab源程序-based on fuzzy RBF network tuning PID control, Matlab source
Update : 2025-02-17 Size : 1kb Publisher : 满延杰
[matlab] nnfuzzy DL : 0: 用RBF神经网络和模糊控制方法控制二级倒立摆源码-Using RBF neural networks and fuzzy control method to control a double inverted pendulum source
Update : 2025-02-17 Size : 51kb Publisher : 王启源
[AI-NN-PR] pid DL : 0: :针对当前电力机车调速系统存在的一些问题，简要分析了直流电力机车调速原理，提出了控制系统的硬件结构，并且设计出Fuzzy + PID复合结构的控制器，提高了控制系统的动态响应速度和稳态误差同时利用RBF神经网络自整定PID参数解决了PID控制中的参数整定问题-err
Update : 2025-02-17 Size : 330kb Publisher :
[Other] shenjingwangluo DL : 0: 两本神经网络方面的经典电子书人工神经网络导论.pdf 人工神经网络实用教程.pdf 神经网络是智能控制技术的主要分支之一。本书的主要内容有：神经网络的概念，神经网络的分类与学习方法，前向神经网络模型及其算法，改进的BP网络及其控制、辨识建模，基于遗传算法的神经网络，基于模糊理论的神经网络，RBF网络及其在混沌背景下对微弱信号的测量与控制，反馈网络，Hopfield网络及其在字符识别中的应用，支持向量机及其故障诊断，小波神经网络及其在控制与辨识中的应用。-Two neural networks classic book Introduction to Artificial Neural Networks. Pdf Practical Guide artificial neural network. Pdf neural network is the intelligent control technology, one of the main branch. The main contents of this book are: the concept of neural networks, neural network classification and learning methods, the former to the neural network model and its algorithm, the improved BP network and its control, recognition modeling, based on genetic algorithm neural network, based on fuzzy the theory of neural network, RBF network and its application in the context of chaotic signals of weak measurement and control, feedback network, Hopfield Network and Its Application in character recognition, support vector machine and its fault diagnosis, wavelet neural network and its application in control and identification applications.
Update : 2025-02-17 Size : 7.43mb Publisher : 梁健
[AI-NN-PR] GAP-RBF DL : 0: 模糊神经网络逼近与分类，模糊规则提取，快速增长与删减网络。-Fuzzy neural network approximation and classification, fuzzy rule extraction, with the deletion of the rapid growth of the network.
Update : 2025-02-17 Size : 3kb Publisher : 王宁
[AI-NN-PR] GGAP-RBF DL : 1: 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
Update : 2025-02-17 Size : 453kb Publisher : 王宁
[AI-NN-PR] 644998fnn-ok DL : 0: 模糊滑模神经网络RBF在倒立摆系统的应用-Fuzzy sliding-mode neural network RBF at the inverted pendulum system
Update : 2025-02-17 Size : 1kb Publisher : zhaominghui
[matlab] MATLABprogram DL : 0: 基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码，其中包含BP pid，CMAC PID,RBF PID，BP数值逼近算法，BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID.
Update : 2025-02-17 Size : 9kb Publisher : 但杨文
[AI-NN-PR] FUZZY-RBF-PID DL : 0: 基于模糊RBF网络整定的PID控制,采用增量PID形式-RBF network based on fuzzy tuning of PID control, PID form of incremental
Update : 2025-02-17 Size : 1kb Publisher : wutiebing
[matlab] fuzzynet DL : 0: 模糊RBF网络逼近和混合Pi-Sigma神经网络逼近-Fuzzy RBF and Pi-Sigma Approaching
Update : 2025-02-17 Size : 2kb Publisher : lsy
[MiddleWare] 669703566 DL : 0: 本代码为基于模糊RBF辨识的自适应PID控制，比较常规PID具有很明显优势控制效果。-The code for identification based on fuzzy adaptive PID control of RBF, compared with the obvious advantage of conventional PID control performance.
Update : 2025-02-17 Size : 1kb Publisher : wade
[AI-NN-PR] chap8 DL : 1: 模糊RBF网络高级神经网络基于模糊RBF网络的逼近算法 Pi-Sigma神经网络-High fuzzy RBF network based on fuzzy RBF neural network approximation algorithm for network Pi-Sigma Neural Networks
Update : 2025-02-17 Size : 9kb Publisher : 方久春
[AI-NN-PR] fuzzy-clustering-algorithm-for-hierarchica-reinfor DL : 0: 基于模糊聚类的分层强化学习算法Based on fuzzy clustering algorithm for hierarchical reinforcement learning-Based on fuzzy clustering algorithm for hierarchical reinforcement learning
Update : 2025-02-17 Size : 167kb Publisher : tec1234
[matlab] POSRBFNN DL : 1: mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
Update : 2025-02-17 Size : 8kb Publisher : zhaoyunyuan
[matlab] fuzzy-rbf DL : 0: 结合模糊和径向基的综合算法，可建模仿真，需要的可以下载-And RBF fuzzy comprehensive algorithm, modeling and simulation, need can be downloaded
Update : 2025-02-17 Size : 7kb Publisher : zhaolu
[Data structs] RBF DL : 2: 针对传统的PID控制器参数固定而导致在控制中效果差的问题,提出一种基于模糊RBF神经网络智能PID控制器的设计方法。该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点,将模糊控制与RBF神经网络相结合以在线调整PID控制器参数,整定出一组适合于控制对象的kp,ki,kd参数。将算法运用到电机控制系统的PID 参数寻优中,仿真结果表明基于此算法设计的PID控制器改善了电机控制系统的动态性能和稳定性。-Traditional PID controller parameters fixed in the control effect caused by the problem of poor design method based on fuzzy RBF Neural Network Intelligence PID controller. The method combines strong reasoning ability of fuzzy control and neural network learning ability of the characteristics of the RBF neural network and fuzzy control are combined to adjust the PID controller parameters online, fix the whole set is adapted to control the object kp, ki, kd parameter. The algorithm is applied to the motor control system PID parameter optimization, the simulation results show that the algorithm based on the design of PID controller to improve the dynamic performance and stability of the motor control system.
Update : 2025-02-17 Size : 2kb Publisher : 马腾

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