搜索资源列表
fuz
- 一阶带时延系统用传统PID控制和模糊控制对比matlab程序-An order with a time delay systems using conventional PID control and fuzzy control contrast matlab program
TFuzzyImunneh
- 这是一个比较简单的模糊免疫PID的程序，在程序中结合了P模模糊与免疫的思想，有较高的实用价值！，已通过测试。 -This is a relatively simple procedures fuzzy immune PID, P mode is a combination of fuzzy thinking with the immune program, with high practical value! , Has been tested.
EC1
- 针对一个特殊的控制系统，分别采用PID和模糊控制（FC），编制了代码程序来对它们进行优化。通过simlink仿真后效果较好。-For a special control system, using PID and fuzzy control (FC), the preparation of the code to optimize them. After by simlink simulation is better.
Smart_Car2.5
- 飞思卡尔智能车光电组程序；传感器为线性ccd，运用模糊自适应pid调节算法控制舵机；增量式pid算法控制速度；编译环境为IAR 在此分享出来，希望大家好好交流学习！-Freescale Smart Car photoelectric set of programs sensor is linear ccd, using fuzzy adaptive algorithm to control the servo pid regulation incremental pid algorith
smartcar_k60_v3.0
- 第九届华南赛区飞思卡尔智能车光电组二等奖，内含模糊算法、PID算法，以及CCD的应用程序，单片机为K60，开发软件为Keil-Ninth South Division Freescale smart car photoelectric group prize, containing fuzzy algorithm, PID algorithm, and CCD applications, SCM as K60, to develop software for Keil
fuzzyPID
- 针对PID控制模型，使用模糊控制方法对PID的参数自适应优化，属于基于模糊自适应PID控制算法程序-For the control of the PID model, using the parameter optimization of adaptive fuzzy control method for PID, which belongs to the fuzzy adaptive PID control algorithm program based on
FUPID
- 这一程序内涵模糊控制器的FIS程序，可以做基于此做PIDmatlab仿真。-This program connotation fuzzy controller fis program, you can do based on this PID simulation.
fuzzypredictive
- 改进型的模糊预测控制算法matlab仿真程序，大家可以交流看一下-improved fuzzy pid predictive base on matlab software
Intelligent-Control-program
- 有PID控制和模糊控制对照的很实用的小程序，简单易懂-compare PID control with fuzzy control
animbb
- 仿照Matlab simulink自带slcp例程建立的PID和模糊控制方程程序，用于模拟横梁-小球系统（或杆球系统）的模糊控制，程序带有动画演示功能-Inspired by Matlab-simulink s fuzzy control demo slcp , a simulation with animation for the ball-beam system fuzzy control was implemented here.
HMYpid
- 基于免疫算法与模糊控制的新型PID控制器的实现程序。-mplementation of a new PID controller based on immune algorithm and fuzzy control.