粒子群优化算法的寻优算法，非线性函数极值寻优-pso

In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An application of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent systems

Wiener滤波matlab程序,望多多指教.(Wiener filtering process, and hopes the exhibitions.)

code for denoising and restoration using total variation restoration regularization

matrix pencil for doa estimation using multiple and single snapshot

模型预测控制的动态预测控制算法matlab程序(Model predictive control, dynamic predictive control algorithm matlab program)

calculating penalty factor for slack bus

a full asics of the matlab very easy to learn and identify

信息与编码的matlab实验 武汉理工大学(The information coding matlab experimental Wuhan University of technology)

电力线噪声的建模，有色背景噪声和脉冲噪声的模型建立(Modeling of Power Line Noise)

Taking into account all the parameters mentioned, forming the appropriate programming to the controller in order to achieve the synchronization between the two systems, the appropriate amplitude and as well as the power management to the DC to control the power that is injected to the electrical grid, the results we take are in the range of high performance inverters. In this simulation scenario the power is high as the current has been increased and the THD is low