RLS

把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易(it is copyed into the training data, load the document*. m, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy)

说明：  求解约束极小值问题的函数fmincon，fmincon是求解多维约束优化问题的优化工具箱函数(Problem solving constrained minimum function fmincon, fmincon is a multi-dimensional constrained optimization problems for solving the optimization toolbox function)

美国F-16飞机的配平程序、小扰动线性化程序、全量方程求解时域响应、小扰动线性化方程求解时域响应。用MATLAB2014a编写。(The United States F-16 plane balancing procedure, the small perturbation linearization procedure, the full amount of solving the equation of time domain response, small perturbation linearization equation is solved in time domain response. Written by MATLAB2014a.)

动态时间规整的一个应用实例，能够运行，希望对大家有用(Dynamic time warping, an application instance, can run, we want to be useful)

经典PID与增加了高阶微分的改进PID的对比程序。(The classical PID VS the GPID with high order PID differential.)

说明：  较权威的NS培训文档，希望对大家有所帮助(NS training more authoritative document, we want to help)

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

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shielding effectiveness of the materials

说明：  这里面包含两个程序段，是学习SIMULINK的基础程序，很有借鉴意义，不学习的就不要浪费时间了(This procedure consists of two paragraphs which is the basis of SIMULINK learning process, referential significance, not to learn not to waste time on)