搜索资源列表
m472
- 多变量pid神经网络控制仿真程序，用于多变量时的控制-Neural network control of multivariable pid simulation program for multi-variable control
PID1
- PID神经元网络解耦控制算法_多变量系统控制，第一部分，包含3个源文件 -PID Neural Network Decoupling Control Algorithm _ multivariable system control, the first part, contains 3 source files
PID2
- PID神经元网络解耦控制算法_多变量系统控制 这是第二部分，包括3个源文件-PID neural network decoupling control algorithm for multivariable control system _ this is the second part, including the three source files
GeneticWavelet
- 提出了一种基于遗传算法和小波神经网络的 PI 参数整定方法。首先 ,利用具有自然进化的遗传算法对小波神经网络的初始权值进行优化训练 ,解决了控制器网络初始权系数对控制效果产生的影响 其次 ,利用小波神经网络对PID参数进行在线调节 最后将此算法运用到电机控制系统的 P I D参数寻优中。-A new-type controller based on genetic algorithm andwavelet neural net work was presented.The genetic alg
BP_zuoye
- 基于MATLAB的神经网络控制，用BP神经网络拟合函数f = exp(-1.9*(u+ 0.5))*sin(10*u)-Neural network control based on MATLAB, using BP neural network fitting function f = exp (-1.9* (u+ 0.5))* sin (10* u)
IntelligentTacticalFlight
- &基于贝叶斯网络和模糊推理 技术A实现了战场威胁级别及其相对重要性程度的综合评估&利用模型预测控制的滚动优化和在线校正原理A实现了 飞机在线飞行路径规划&建立了路径规划代价函数中加权因子的智能化分配方法A进而实现了威胁评估与路径规划 之间的集成A使得路径规划系统能够自适应战场态势的动态变化.-koorow&E}8k w$lrm}nz$pkzz8zzn8omp$lm}l8km 8y8 ko|l8 kmry8rnj$lmkos8kl88zmk9 rz}8|9kz8|$ouk{8zrko
patical
- 基于神经网络与粒子滤波的柔性臂控制方法研究-Particle filter based on neural network and control method of flexible manipulator
BPPID
- 采用神经网络控制的方法。利用人工神经网络的自学习这一特性，并结合传统的PID控制理论，构造神经网络PID控制器，实现控制器参数的自动调整-Control method using neural network. Artificial neural network to learn the characteristics of the self, combined with the traditional PID control theory, structural neural network
PID-neural-network-control
- 基于PID神经网络的三自由度飞行器模型控制研究-PID neural network based on three degrees of freedom control of aircraft model
PIDign
- 模型跟随的神经网络PID飞行控制律设计PID neural network model following flight control law design-PID neural network model following flight control law design
pso
- PSO算法简单、易实现且参数较少，现已被应用于函数优化、神经网络训练、模糊系统控制以及其它遗传算法的应用领域-PSO algorithm is simple, easy to implement and less parameters, have been applied to function optimization, neural network training, fuzzy system control and other applications of genetic algorit
GA_BPNN
- 基于遗传算法和BP神经网络控制倒立摆的程序，用遗传算法优化神经网络权值阈值以达到更好的控制效果-Based on genetic algorithm and BP neural network control procedures for the inverted pendulum, with a genetic algorithm neural network weight threshold in order to achieve better control performance
nnctrl20
- 人工神经网络控制工具箱（其中包括各种学习方法、训练方法）----神经网络机器人视觉伺服。-Artificial neural network control toolbox (which includes a variety of learning methods, neural network training methods )---- robot visual servo.
PID
- PID控制是非常重要的工业控制手段，用BP网络与PID控制相结合的控制更优-PID control is very important industrial control measures, with BP network and PID control more optimal combination of control
truetime-2.0-beta6
- TrueTime是基于simulink的网络控制系统仿真软件，弥补了simulink的功能确实，由隆德大学控制工程系用C++开发，为免费软件 这是最新的2.0 beta 6版本-TrueTime is a Matlab/Simulink-based simulator for real-time control systems. It s from LUND University,for free.This is the latest version 2.0 beta 6
Robot_control(neutral-network)
- 机器人神经网络控制，可以实现在线学习。并且对学习的误差会逐渐减小，达到控制精度的要求。-Robot neural network control, online learning can be achieved. And error learning will gradually decrease to control accuracy.
BPPID
- 这是BP神经网络和普通PID结合的神经网络PID控制，对于不同的控制对象，只需要改三个控制参数即可-This is the BP neural network and ordinary PID PID control with neural network for different control objects, only three control parameters can be changed
MATLAB
- 前馈神经网络控制的MATLAB算法及仿真，BP神经网络仿真-Feedforward neural network control and simulation of MATLAB algorithms, BP neural network simulation
triplehandstandpendulum
- 学校布置的神经网络控制的大作业，控制三级倒立摆的，实验效果非常好！-School layout neural network control of a large operation, control triple inverted pendulum, the experimental results is very good!
CHAP4_3
- 基于MATLAB中M文件编写的BP神经网络控制一阶惯性环节加大时滞系统程序-Written in MATLAB M-file based on BP neural network control to increase the delay part of the first-order inertial system program