CHW4

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

在MATLAB/simulink下，搭建三相四线制非线性负载。(In the MATLAB/simulink, the three-phase four-wire system to build non-linear load.)

power system metigation series compensation

对vsc的simulink模型进行了搭建(The simulink model of vsc was built)

吊车-双摆系统控制MATLAB仿真 （2级倒立摆） S=1 LQR控制 S=2 PID控制(Crane- Double Pendulum System Control MATLAB simulation (two inverted pendulum) S = 1 LQR control of S = 2 PID control)

中国移动多媒体广播CMMB标准第一部分文档,广播信道帧结构 信道编码和调制(CMMB China Mobile Multimedia Broadcasting, the first part of the document standard, broadcast channel frame structure channel coding and modulation)

this is use for doing matlab coding

利用差分法，将数据拟合，从而可以更好的辨识非线性系统的损失位置。(By using the difference method and fitting the data, the loss location of the non-linear system can be identified better.)

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watermark using correlation and pn sequence