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解决凸优化方面的醉经典工具箱，相信大家都非常熟知这个工具箱，非常棒的工作工具，希望大家下载好好学习！(To solve the problems of convex optimization of the classic drunk toolbox, I believe we are very familiar with this toolbox, very good working tools, I hope you download a good learning!)

粒子群优化算法MATLAB代码，基于粒子群算法的多目标优化算法(Particle swarm optimization algorithm code)

说明：  涂层物质中的电磁脉冲特性与雷达截面减缩，涂层物质中的电磁脉冲特性与雷达截面减缩(Radar Cross Section Reduction and Characteristic of Electromagnetic Pulse in Antiradar Coating M aterial )

傅立叶变换的matlab实现和傅立叶反变换的matlab实现，入口参数是：t和f，出口参数是f和t(Matlab Fourier Transform and Fourier Transform realize the matlab realize, the entrance parameters are: t and f, the export parameters are f and t)

解决局部寻优的单变量问题，在单变量无法用传统方法解决时，是一种很好的解决办法。代码包含详细解释。(Solving the local optimization problem of single variable is a good solution when single variable can not be solved by traditional methods. The code contains detailed explanations.)

本DTW的语音识别算法是日本学者sakoe提出的，这种方法比itkura的要好，但本算法没使用到加权，方法简单了，以后再图改进(The DTW recognition algorithm is proposed by Japanese scholars sakoe, this method is better than itkura, but did not use this method to the weighted method is simple, and later plans to improve)

自学MATLAB很好的资料,很多,全部免费。如 PUMA560的MATLAB仿真，要建立PUMA560的机器人对象，首先我们要了解PUMA560的D-H参数，之后我们可以利用Robotics Toolbox工具箱中的link和robot函数来建立PUMA560的机器人对象。 (Self MATLAB good information, a lot, all free of charge. matlab function in robotics toolbox commentary As PUMA560 MATLAB simulation, robot object PUMA560 to establish, first of all we have to understand the parameters PUMA560 DH, and then we can use the Robotics Toolbox Toolbox link and robot functions to build a robot object PUMA560.)

主要是應用在通訊上的SCM模型，內容鉅細靡遺(SCM model is mainly used in communications, the content is a tremendous amount)

ieee30节点的matlab程序，基于极坐标下牛拉法的求取雅可比矩阵(failed to translate)

模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)