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DCmotor
基于Matlab的直流电动机的起动、控制、调速仿真(DCmotor matlab simulink)
- 2010-05-21 22:14:52下载
- 积分：1
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Recursive-dichotomization
采用加入递归思想的二分法搜索非线性方程的近似解，在典型算例中调试通过。(A recursive dichotomization which is utilized in the solving of non-linear equation.)
- 2015-01-03 23:04:52下载
- 积分：1
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bouc_wen
磁流变减震器模型，bouce_wen经验模型(Magnetorheological damper model)
- 2020-12-25 15:49:04下载
- 积分：1
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tank
MATLAB 设计的一个关于用户界面的例子(MATLAB design a user interface example)
- 2008-05-28 16:46:09下载
- 积分：1
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FFT
说明： fft快速傅立叶变换源代码 打包下载 相信对大家有一定帮助(fft Fast Fourier Transform source code package to download that will definitely help all of us)
- 2011-02-27 19:35:05下载
- 积分：1
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Huange_emd
黄锷论文中EMD和HHT的源程序，已经打包压缩,解压后可以使用(Wong Ngok paper on EMD and HHT source, has been packaged compression, decompression can be used after)
- 2013-09-25 10:58:18下载
- 积分：1
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random_sequence
生成（0,1）随机序列，白噪声。生成M序列。(Generating (0,1) random sequence, the white noise. Generate an M-sequence.)
- 2013-09-26 20:08:26下载
- 积分：1
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STM32-MPU6050-
mpu6050模块测试，mpu6050的测试程序，用于读取mpu6050的测试值，简单作为大家的参考资料(mpu6050 test procedures，mpu6050 test program for reading test values mpu6050 and simple as a reference for everyone
)
- 2015-03-27 10:06:07下载
- 积分：1
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PID-Control-5
离散系统的数字PID控制，可以根据S参数选择跟踪三角波、锯齿波、随机信号，跟踪效果良好。(Discrete system of digital PID control, S-parameters can be selected track triangle wave, sawtooth, random signals, track to good effect.)
- 2011-10-06 12:10:36下载
- 积分：1
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chap8_2_ga
说明： 遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)
- 2020-12-18 11:34:29下载
- 积分：1
