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characterdatainsertdatabeginning
characterdatainsertdatabeginning extends D O M Test Case for Andriod.
- 2013-12-16 11:08:31下载
- 积分:1
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cc7
吊车双摆系统的仿真 说明了pid控制方法的局限性(Crane double pendulum system simulation illustrates the limitations of pid control)
- 2007-08-15 19:59:22下载
- 积分:1
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APFcode
机器人路径规划中局部路径规划常用的人工势场法,在matlab仿真的原代码(robot path planning local path planning commonly used artificial potential field in Matlab simulation of the original code)
- 2007-05-11 19:44:01下载
- 积分:1
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ADC15_Matlab
8-bit pipelined adc matlab model
- 2013-02-19 09:39:36下载
- 积分:1
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Linear
线性系统作业,系统辨识,运用极点配置,LQR,H∞设计状态反馈控制器(Linear system operation, system identification, using pole placement, LQR, H ∞ state feedback controller design)
- 2014-02-13 11:56:14下载
- 积分:1
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choxiao-NSGA-II
说明: 测试nsga2的优化性能,包含zdt系列、sch系列,支持三个目标下的约束求解(NSGA-II TEST,including zdt series,sch series and is okay for a 3-dimensional minimization problem.)
- 2020-12-07 22:09:58下载
- 积分:1
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35738616dynamicalsystem
说明: 动态系统是我们生活中的常见系统。此程序源码就是源于生活的一项仿真程序。的确不错的。(Dynamic system is a common system of our lives. This source code is a simulation program from life. Really good.)
- 2010-04-17 15:14:56下载
- 积分:1
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guasMATLAB
In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.
- 2011-05-11 11:48:44下载
- 积分:1
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Matlab-runcode
黄锷院士的EMD/EEMD程序,可实现EMD/EEMD 计算(Wong Ngok academicians EMD/EEMD procedure can achieve EMD/EEMD calculation)
- 2021-04-06 22:19:02下载
- 积分:1
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Canny-edge-detector-algorithm-matlab-codes
Canny edge detector algorithm matlab codes
This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure:
• Subfigure 1: The initial "lena"
• Subfigure 2: Edge detection along X-axis direction
• Subfigure 3: Edge detection along Y-axis direction
• Subfigure 4: The Norm of the image gradient
• Subfigure 5: The Norm of the gradient after thresholding
• Subfigure 6: The edges detected by thinning
- 2014-01-31 11:58:26下载
- 积分:1