LMSLMSNewton

The traditional power droop controllers are commonly used in distributed generation (DG) units to share the loads among the parallel inverters. However, the parameters of the power transmission and distribution line in microgrid are small and generally presented high resistance-to-inductance (R/X) ratio which will seriously influence the performance of the traditional power droop controller, even leading to instability

Neural network simple example

Toward Privacy Preserving and Collusion Resistance in a Location Proof Updating SystemToward Privacy Preserving and Collusion Resistance in a Location Proof Updating SystemToward Privacy Preserving and Collusion Resistance in a Location Proof Updating System

归一化高斯核自适应LMS盲均衡的matlab代码，并附有详解(Normalized Gaussian kernel adaptive LMS blind equalization matlab code, along with Explanation)

在群体进化若干代后,将弱解空间删除,在以后的进化进程中以同样的群体大小只在强解空间进行群体的繁殖,则可加大强解空间的个体密度,提高解的精度,这样有助于性能优良的个体的产生,(After several generations of evolution in the population, a weak solution space removed in the future evolution of the process with the same population size in a strong solution space only breeding colony, it can increase the density of strong individual solution space, to improve the accuracy of the solution, This helps produce good performance of individuals,)

单神经元PID控制器的仿真与应用实例。比较常规PID控制器，得其优缺点(single neuron PID controller simulation and application examples. Comparing Conventional PID controller, to gain advantages)

bridge rectifier circuit that shows how out-of-phase the current is with respect to voltage

matlab编写的关于fdtd编程的步骤和具体方法，适合初学者，且直接是三维结构，用mur吸收边界条件(Matlab fdtd prepared by the programming steps and concrete measures for beginners, which is the three-dimensional structure directly with mur absorbing boundary conditions)

量子微粒群算法工具箱Quantum particle swarm optimization toolbox(Quantum particle swarm optimization toolbox)

Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform