singlephase-uncontrolled-rectifier

prediction of time series

介绍如何用较复杂的方法去优化对负载具有感知特性的“黑匣子”模型的神经网络控制。(Shows how to use the complex method to optimize a black-box neural network model of a load-sensing )

我自己写的一级倒立摆的MATLAB仿真程序，用M语言的，值得一看的，是交给老师的大作业(I wrote it myself an inverted pendulum MATLAB simulation program, using M language, worth a visit is to the teacher)

Simulation program to realize OFDM transmission system

m leach protocl for wsn

this mfile is for FSR (F-P) about ringresonator

模糊自适应pid控制器的设计 内含源代码和论文一篇 可以使用 已用过(Design of fuzzy adaptive pid controller, and a paper containing the source code can be used has been used)

本程序是中国科学技术大学近代力学系振动理论第二次大作业的源代码，里面包含Fortran和MATLAB两种版本。程序中有详细的注释说明，很容易看懂，而且Fortran版本通用性很强，稍加修改便可以解决其他问题。(This program is a source of vibration theory Department of Modern Mechanics, University of Science and Technology of China' s second major work, which contains two versions of Fortran and MATLAB. Programs have detailed notes, it is easy to understand, and very versatile Fortran version, slightly modified can solve other problems.)

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)

针对雷达组网的实际情况,通过对影响雷达网数据融合处理的几个关键问题进行分析,给出解决这些问题 的方法,通过仿真和实际雷达数据的实验,取得了好的效果。可应用于实际雷达网的数据融合工作中。 (Some key problems of radar network data fusion are analysised. A few practical methods solving these problems are presented for radar network. Basing on simulation and actual radar data, it is shown that the proposed methods are effective. These technologies can be used for actual application. )