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Matlabsimulink_FPGA
Matlabsimulink 在FPGA 设计中的应用(Matlabsimulink in the FPGA Design)
- 2009-03-18 17:12:40下载
- 积分：1
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11222
该控制算法为模糊控制器在机器人避障系统中的应用，是一个多输入多输出的控制系统，仿真结果和实际的运行结果比较符合。(The control algorithm for the Fuzzy Controller for Obstacle Avoidance System, is a multi-input multi-output control system, simulation results and actual operating results more in line.)
- 2020-07-04 18:40:06下载
- 积分：1
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kron
This is the Kron Reduction algorithm. It is used to reduce Jacobian matrices to calculate state matrices.
- 2013-08-28 06:45:43下载
- 积分：1
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hsbj
matlab和切比雪夫，里面有很多曲线拟合(matlab)
- 2009-12-01 10:06:09下载
- 积分：1
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kernel
gaussian kernel with matlab
- 2010-12-19 02:15:19下载
- 积分：1
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MATLAB_mse
本文采用最小平方误差准则(MSE准则)通过训练样本集建立线性判别函数，并用线性判别函数去判断测试集。
数据集报告：
1、男女生
2、sona
3、ups(In this paper, the least square error criterion (MSE criterion) the training sample set by a linear discriminant function, and a linear discriminant function to determine the test set. Data Set Report: 1, boys and girls 2, sona 3, ups)
- 2010-05-13 21:38:08下载
- 积分：1
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li
说明： 遗传算法计算最优值，其中有线性及非线性的约束(Genetic algorithm to calculate the optimal value, including linear and nonlinear constraints)
- 2013-08-26 16:38:49下载
- 积分：1
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chengzifa
基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。
(Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)
- 2011-01-17 20:54:43下载
- 积分：1
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dijsk_Matlab
dijsk最短路径Matlab算法
dijsk最短路径Matlab算法(dijsk shortest path Matlab Algorithm)
- 2012-04-08 16:41:06下载
- 积分：1
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IDCOM-controller-design
IDCOM controller design!
- 2012-05-12 17:32:22下载
- 积分：1
