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于 2013-04-11 发布文件大小:34KB

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电梯模拟问题，对电梯一次运行的停层次数进行模拟仿真。(Elevator simulation problem, the number of first run to the elevator stopped hierarchy simulation.)

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Inverted_Pendulum
振动倒立摆，对倒立摆的研究，对matlab动画例程都有帮助的(I have made simple Matlab Code below for this tutorial example and you can modify it for your need.)

2014-12-21 11:31:56下载

积分：1
strapdown
对捷联惯导的速度、经纬度、姿态角等参数进行解算(A programme to compute the speed,latitude,longitude and attitude of strapdown inertial navigation system)

2021-04-20 17:48:50下载

积分：1
MATLAB在振动信号处理中的应用代码
MATLAB在振动信号处理中的应用一书对应章节代码，亲测可用(MATLAB vibration signal processing in the application of a Book corresponding chapter code, pro test available)

2020-11-29 10:29:28下载

积分：1
Gauss_Seidel
一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(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. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)

2014-11-20 22:12:52下载

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mrac
自适应控制的简单程序，对于初学者有很大的帮助，大家共同学习，共同进步(In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is proposed, which yields a maximum likelihood estimation of the Kepler orbit with multi-spatio-temporal state based on both the preprocessing of the small manoeuvring model and the determining of initial value parameter with two spatio-temporal state. )

2012-10-27 10:26:56下载

积分：1
one
产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

2013-11-26 16:24:18下载

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matlabsnake
example of matlab source code of snake algorithm.

2009-03-11 18:03:52下载

积分：1
ex11_Multidiophantine
丢番图方程求解，在广义预测控制中经常使用到，使用多次迭代求解。(Diophantine equations in generalized predictive control is often used to use repeatedly iterative solution.)

2013-10-21 19:21:19下载

积分：1
chaper5
机器人控制系统的设计及其matlab仿真第5章“机器人迭代学习控制及重复控制”源代码(The robot control system design and its matlab simulation Chapter 5, " the robot iterative learning control and repetitive control" source code)

2013-04-25 14:23:46下载

积分：1
ZF_Vblast
16QAM Vblast 误码率仿真(16QAM Vblast BER simulation)

2008-03-13 10:57:49下载

积分：1

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