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以上为matlab在控制系统仿真中一些例子程序，对学习控制系统仿真的朋友有一些帮助(About mathematical modeling risk overdraw problem program, mainly to solve the risk of the investment in the optimal strategy is more than the main Linux multi-threading with processes the correlative analysis of the performance, very classic, is suitable for various beginners above for matlab in control system simulation program some examples to the study of control system simulation friend has some help )

吉布斯定轨法。 输入：轨道上任意三个点的位矢(R1,R2,R3)； 输出：质点在R2端点时的速度V2；ierr是个判断符号，返回的ierr是零的话，就说明‘R1,R2,R3’共面，如果ierr是1的话说明‘R1,R2,R3’不共面(正常情 况下，要构成轨道的话，‘R1,R2,R3’一定共面 ，即ierr是零，如果ierr是1的话说明输入的‘R1,R2,R3’不共面不能构成轨道。 此函数用于：任意给定三个空间共面的向量，可以确定质点在R2处的速度V2，也就得到了轨道上的一个状态向量(R2,V2),调用前面的函数就可以确定其轨道，及任意时刻的状态。(Gibbs set the track method. Input: track any three points of the bit vector (R1, R2, R3) output: particle at R2 endpoint speed V2, ierr is a judgment symbol, The ierr that is returned is zero, then, it means' of R1, R2,, R3, ' coplanar, if ierr is 1, then description' of R1, R2,, R3, ' not a total surface (under normal circumstances, you want to constitute a track, then,' of R1, R2, R3, ' a certain total surface, ierr is zero, if ierr is an instructions to enter the words ' of R1, R2, R3' coplanarity can not constitute a track. This function is used: for any given three space vector of the surface, can determine the particle at the speed V2, R2 also track a state vector (R2, V2), call the previous function can determine its orbit, and at any time of the state.)

里面有详细的反步法仿真的例子，共有9个实例。非常适合初学者使用。(There are detailed examples of backstepping simulation, a total of 9 examples. It is very suitable for beginners.)

这是一个LATEX的常见问题集，希望可以给大家一点帮助(failed to translate)

induction machine detection fault by wavelet

数值分析的MATLAB实现---拉格兰日差值(MATLAB implementation of numerical analysis)

基于禁忌搜索算法的配电网无功补偿优化规划的 禁忌搜索部分(Optimize the planning of reactive power compensation based on the tabu search algorithm with tabu search part)

基于SVM的混沌时间序列分析 把SVM优化算法用于混沌时间序列分析 可以得到优于一些方法的结果(SVM-based chaotic time series analysis of the SVM optimization algorithm for chaotic time series analysis methods can be superior to the results of)

光子晶体波导非线性的程序！非线性系数和能量的关系曲线！(Nonlinear photonic crystal waveguide program! Non-linear coefficients and the energy curve!)

this gives you detailed abt the active power filter and its used. You can mitigates the harmonics by using a active power filter.