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使用神经网络实现2阶倒立摆的控制。包含simulink连接图、神经网络程序、最终结果。-Second order inverted pendulum control using neural network. Contains the simulink connection diagram, neural network program, the final result.
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BP神经网络控制一级倒立摆simulink仿真-BP neural network control an inverted pendulum simulink simulation
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本文件是我们小组参加2013电工杯的数学建模比赛的文件,荣获全国2等奖!我们做的是电力系统分析的题目,内有基于matlab建立的三次平滑统计方法,以及神经网络智能算法,还有就是基于simulink的电力系统仿真程序!内附有程序说明文件。你一定能看懂的,不懂的可以留言给我!-This document is our electrician Cup 2013 team participated in the mathematical modeling of the game files, won t
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this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB
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这是一个simulink的神经网络pid模型-This is a neural network model simulink for pid
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一个在Simulink环境下,对Elman神经网络用于峰值检波的一个仿真,里面含有详细的仿真过程及结果,包括对Elman神经网络的训练结果。-One in the Simulink environment, Elman neural network simulation for a peak detector, which contains detailed simulation process and results, including the results of Elman neural
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基于神经网络的双容水箱的液面控制系统,用的是simulink仿真。-Level control system based on neural network-based dual-tank water
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单水箱的神经网络控制,通过simulink搭建出单水箱的数学模型,控制水面保持在规定位置。-Neural network control unit of the water tank through a single mathematical model simulink build tank, the control surface at a predetermined position.
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simulink高斯径向基函数神经网络的PID控制-simulink Gaussian radial basis function neural network PID control
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基于simulink的连续系统仿真,实用RBF神经网络逼近系统-Continuous System Simulation simulink, practical RBF neural network to approach system
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自适应神经网络图书馆(Matlab的5.3.1或更高版本)是实现多个自适应神经网络具有不同的自适应算法块的集合。
它主要分布于2001年6月 - 7月詹皮耶罗坎帕(西弗吉尼亚大学)和马里奥·卢卡Fravolini(佩鲁贾大学)。后来改善部分由美国航天局资助NCC5-685支持。
有迹象表明,实施基本上这些种神经网络的块:
自适应线性网络(ADALINE)
多层感知层网络
广义径向基函数网络
动力单元结构(DCS)网络的高斯或圆锥形基函数
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This Code MATLAB Simulink of RBF Neural Network.-This is Code MATLAB Simulink of RBF Neural Network.
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基于S函数的BP神经网络PID仿真,可以学习S函数的应用-Simulation Based on BP neural network PID controller Simulink S-function
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Here the main2D.m code plots relationship between three chemical compositions of GTL (normal-paraffin, iso-paraffin and cyclo-paraffin). At the end it gives four different versions optimized plot (overlap of all four ternplots of chemical properties)
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基于RBF神经网络自适应控制的一级直线倒立摆仿真——simulink-linear inverted pendulum simulation based on the RBF neural network adaptive control
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MATLAB/Simulink 资源分享 Matlab基于BP+PID神经网络控(Realization of Matlab Based on BP + PID Neural Network)
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The controller is built by MATLAB/Simulink. PID人工神经网络控制算法(Neural Network with PID controller is built by MATLAB/Simulink. This controller can be used in motor drive and other actuators in industry.)
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In this paper, an efficient active power filter (APF) scheme is developed to estimate and compensate for harmonic distortion in an electrical power network. The developed APF control scheme is based on a double proportional feedback controller and a
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这是一个基于神经网络RBF的PID控制器,SIMULINK模型加m函数(This is a PID controller based on neural network RBF, SIMULINK model plus m function.)
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BP神经网络S函数,里面包含了simulink建模及其S函数(BP neural network S function, which includes Simulink modeling and S function)
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