aloha

这些是一些matlab代码对应书籍Imperialist Competitive Algorithm (ICA)" 的。(These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".)

基于matlab2011b，三电平，公司仿真文件，拿出来分享。(Based matlab2011b, three-level simulation files, to come up with to share.)

　提高电源的动态响应　　非线性和复杂的系统是一个转换器　　电力电子的有趣的挑战。摘要介绍了　　设计和实现数字PID控制器使用　　混沌粒子群优化(复)提振　　转换器,提出了自动调优转换器的方法　　最优启动响应。当系统启动时,处理器　　单元分析了开环启动响应转炉和　　在一些迭代使用复准备最佳反应　　算法。使用逻辑映射混沌映射序列　　增加它的收敛速度和精度。模拟　　和实现结果显示提出的效率　　方法(Improving dynamic response of DC-DC converters which are nonlinear and complicate systems is an interesting challenge in power electronics. This paper presents the design and implementation of digital PID controller using the chaotic particle swarm optimization (CPSO) for a Boost converter and proposes an approach for auto tuning converter optimum startup response. When the system starts, processor unit analyses the open loop startup response of converter and prepares optimum response during some iteration using CPSO algorithm. Chaotic mapping using logistic map sequences increases its convergence rate and resulting precision. Simulation and Implementation results show efficiency of proposed approach)

这个压缩包中有6个函数，利用平均互信息量进行聚类分析的一组函数(CE Matlab Functions)

Resistivity of various types of materials

有均匀线阵的CRB曲线，抑制载波型差分相位调制，能量熵的计算。( There ULA CRB curve, Suppressed carrier type differential phase modulation, Energy entropy calculation.)

Its MVDR beamforming technique

pdg.m:在多项式矩阵中，将矩阵元素对角化。pdiv.m：计算多项式矩阵除法(pdg.m: polynomial matrix, the matrix elements diagonalization. pdiv.m: computing polynomial matrix division)

Resolution of the Cronig-Penney s predator and victim problem wrote in Matlab v6.5.

Photovoltaic solar power technology is being pushed to the forefront as a viable alternative source of renewable energy. Addressing the key design challenges involved in the development and implementation of these systems requires simulation tools capable of not only modeling and analyzing the behavior of diverse electronic components, but also the ability to combine them with the associated control algorithms and uate the full system performance. In this webinar, MathWorks engineers demonstrate how to use dynamic models to test and validate the performance of photovoltaic systems that include the PV arrays, the power converters and inverter electronics, and a variety of loading conditions, including a connection to the utility grid. The examples show how simulation can be used to perform design trade-offs and to develop and test control algorithms, including maximum power point tracking (MPPT).