搜索资源列表
barplot
- An example C-file S-function for accessing simulink signals * without using the standard block inputs. In this case, a floating * bar-plot style scope is implemented. The signals that are selected * on the diagram (via the mouse) are display
ADRC7.0
- MATLAB7.0/simulink实现的全套的自抗扰控制器资料，包括mdl文件和S-function。-Auto-Disturbance Rejection Controller implement by MATLAB7.0/simulink。
NN_THESIS_20_1PHASE
- Dynamic Voltage Restorer with simulink
Distributed_Multimedia_Networks
- MATLAB程序，TCP流路由，丢包率计算，包括脚本和simulink模块。-runde2.m (Matlab driver s program for activating 40 TCP flows with an AQM router) vdpol2.m (Matlab function for setting up stochastic differential equations for runde2.m) runde3.m (Matlab driver s program to
intesmc
- 一种带有积分环节的滑模变结构控制方法程序，包含.mdl与S-function-Of a link with the integral sliding mode variable structure control methods and procedures, including. Mdl with the S-function,,
ch2example17
- S-函数产生正弦波 文件名：ch2example17.mdl-S-Function generator sine wave file name: ch2example17.mdl
PVmppt
- 光伏发电最大功率点跟踪，simulink仿真文件，及S函数源代码。完整详细的论文。-PV maximum power point tracking, simulink simulation files, and S-function source code. Full details of the paper.
Up_timingBYM
- A timing error detector for Communication systems with simulink. # Required versions Matlab 5.2.1, Simulink 2.2.1 # File descr iption 1. ti_det1.m (simulink version 5.2.1) An s-function to be used for timing detector. For detailed i
matlab-robot
- 机器人神经网络控制之RBF网络的逼近，内有mdl模型和s-fun函数。-Robot neural network control of RBF network approximation within mdl model and s-fun function.
matlab-RBF
- 给予模型分块逼近的机器人RBF网络自适应控制，内有mdl模型和s-fun函数。-The approximation given model block robot RBF network adaptive control within mdl model and s-fun function.
S-Fun
- 给出利用S函数进行Simulink仿真时，调用.mdl文件的接口函数，每一步均给出了相应的注释说。-Give the Simulink simulation using the S function, interface function call of.Mdl files, each step are given in notes.
ADRC
- 实现的全套的自抗扰控制器资料，包括mdl文件和S-function-Realization of the full set of ADRC information, including mdl file and S-function
NNC_PID_1_2
- 该MDL主要通过Matlab Simulink实现神经网络的PID控制，两个例子中神经网络模块分别利用Simulink\User-Defined Functions\MATLAB Fcn和S函数方式实现。在S函数中引入T,nh,xite,alfa,kf1,kf2等参数，在S-Function模块的Parameters处予以初始化。并附带了S函数的使用方法，供大家学习Simulink中两种自定义模块的使用方法。(The MDL mainly through the Matlab Simulink