xinsanweihundun

该程序是设计了一种基于卡尔曼函数的DMC控制，能有效的消除控制系统的稳态误差，得到理想的控制效果(The program is designed based on Kalman DMC control function, can effectively eliminate steady state error control system, are ideal control)

用matlab语言编写的遗传算法工具箱，作为一种新的全局优化搜索算法,遗传算法以其简单通用、鲁棒性强、适于并行处理... (using Matlab language of the genetic algorithm toolbox, as a new search algorithm for global optimization, Genetic Algorithm with a simple, common, robust and suitable for parallel processing ...)

利用matlab程序语言实现数值计算中的迭代各种算法(Matlab program language used in the iterative numerical algorithm variety)

Matlab support vector machine training part 3

基于实时运行条件下的39节点电力系统的可靠性的编码(Based on the reliability of real-time encoding of the operating conditions of the 39-bus power system)

Compare the response of SDOF system in terms of damping ratio.

matlab三维点云重建网格建立实例编程教程，对反求的很有用(Matlab 3 d point clouds reconstruction grid establish instance programming tutorial, the reverse is very useful )

支持向量机(SVM)实现的分类算法源码[matlab](Support Vector Machine (SVM) classification algorithm realize the source [matlab])

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

ROLE OF POWER ELECTRONICS IN RENEWABLE ENERGY SYSTEMS