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fuzzy_immune_PID
基于matlab的模糊免疫PID控制，本代码对一阶惯性带延迟环节的传递函数进行整定(Based on the fuzzy immune PID control matlab)
- 2011-06-28 19:34:19下载
- 积分：1
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srt
matlab制作哈哈镜，实现图像的凹凸变化(matlab production distorting mirror, realize bump image changes)
- 2015-04-08 19:11:25下载
- 积分：1
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knn-dwt
matlab环境下基于动态规划算法的语音识别系统！(Matlab environment based on dynamic programming algorithm Speech Recognition System!)
- 2007-03-26 21:34:43下载
- 积分：1
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awlz_pocket_all-vs-all
Pocket algorithm with all-vs-all strategy in Matlab 2011
- 2015-01-13 23:37:28下载
- 积分：1
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MAGNITUDE-AND-PHASE-RESPONSE-OF-HIGHPASS-AND-LOWP
MAGNITUDE AND PHASE RESPONSE OF HIGH AND LOWPASS FILTER
- 2013-12-28 01:07:48下载
- 积分：1
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finalm1
speed controller system for permanent magnet synchrounus motor by pq theory or filed orinted control
- 2017-12-10 20:15:30下载
- 积分：1
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LFDA
说明： LLDA，局部线性判别分析，可以降到任意的维度，相比LDA更加优秀(LLDA, Local Linear Discriminant Analysis, can be reduced to any dimension, which is better than LDA.)
- 2020-11-17 13:59:40下载
- 积分：1
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array
matlab阵列信号处理工具箱DBT,版本2.20,阵列信号处理必备(Directory stored in the source wavelet coding, including the commonly used wavelet transform procedures for)
- 2009-09-05 13:24:39下载
- 积分：1
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function3
The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
- 2011-02-12 00:34:13下载
- 积分：1
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matlabgongchengkongzhigongjuxiang
详细介绍了MATLAB与控制工程相关的6个基础工具箱：系统辨识工具箱、控
制系统工具箱、鲁棒控制工具箱、模型预测控制工具箱、模糊逻辑工具箱和非线性控制设计模块。同时提供了MATLAB的一些基础知识。(Details related to MATLAB and Control Engineering of the six basic kit: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox, Fuzzy Logic Toolbox and nonlinear control design module. Also provides some basic knowledge of MATLAB.)
- 2011-08-27 11:57:41下载
- 积分：1
