Compressed Sensing

锅炉汽包水位自适应模糊控制 可以运行 仿真结果很好(Boiler bubble water control can realize the simulation of boiler water level, and the effect is obvious. (control))

多智能体模型与实验，是进行多智能体理论与实验的科研书(Multi-agent model and experiment, is a multi-agent theory and experimental research book)

农历，阳历，月历，节日，节气，生肖，星座，近代史，可直接使用-Lunar, solar calendar, the calendar, the festival, the cycle of the 12 constellations, the modern history of direct access

MATLAB SVM TOOLBOX，是一个在GUN 编写的基础上加速的版本(MATLAB SVM TOOLBOX, is a preparation based on GUN-accelerated version of)

获取CPU信息的类，封装比较完善，获取信息比较全面，包括频率，二级缓冲等。-CPU access to information categories, a fairly complete package, access to information more comprehensive, including the frequency, such as the secondary buffer.

Oracle函数大全。-Oracle function Guinness.

用MATLAB生成FIR滤波器系数后，用C#语言，在上位机演示及实现FIR滤波器(After the FIR filter coefficients are generated by MATLAB, the FIR filter is demonstrated and implemented on the host computer in C # language)

使用matlab的struct结构，建立一个八叉树(build an octree by matlab software)

400千瓦并网光伏电厂，包括四组光伏阵列，每组最大功率100Kw(400-kW Grid-Connected PV Farm The PV farm consists of four PV arrays delivering each a maximum of 100 kW at 1000 W/m2 sun irradiance. A single PV array block consist of 64 parallel strings where each string has 5 SunPower SPR-315E modules connected in series.)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)