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test51_reg1f
Final file. Horray! Please gogo
- 2011-07-21 22:32:51下载
- 积分：1
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segmentation
background subtraction
- 2010-10-26 22:15:22下载
- 积分：1
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chap7_2
非线性系统的PID鲁棒控制，基于NCD优化的非线性PID控制(Nonlinear systems Robust PID control of NCD-based PID control of nonlinear optimization)
- 2009-05-27 16:27:54下载
- 积分：1
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aa
说明： 连接各路口节点，统计道路条数，求出各道路的长度，并求出所有顶点对间的最短距离(Connect each node of the intersection, statistics, road number, find the length of the road, and calculated the shortest distance between all vertices)
- 2012-06-24 08:40:47下载
- 积分：1
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Capture_picture
Matlab GUI Program to capture picture from webcam
- 2013-05-09 14:03:15下载
- 积分：1
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Sys_identification_adaptive-sim
系统辨识与自适应仿真 书的源程序 非常好的福利(System identification and adaptive simulation source book very good benefits)
- 2014-01-04 10:01:31下载
- 积分：1
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lipeng
电弧炉神经网络预测控制，三相。解耦控制，效果明显(Neural network predictive control of electric arc furnace, three-phase. Decoupling control, the effect is obvious)
- 2020-12-23 20:29:05下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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juanjihe
西安交通大学版信号与系统第一次作业，求数学卷积和C++代码(For convolution and c++ code
)
- 2012-11-07 12:25:28下载
- 积分：1
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kMATLAB
采用matlab编程，实现克里金差值算法(Using matlab programming, the difference between the kriging algorithm)
- 2016-05-12 20:16:54下载
- 积分：1
