Reactive-power-compensation

Matlab实现遗传算法解决TSP问题，计算智能课程设计，程序以Oliver问题是例子，结果良好，也可以自己自己要解决的问题，贡献给大家。(Matlab genetic algorithm to solve TSP problem, Computational Intelligence curriculum design, program the Oliver problem is an example, good results can also own their own to solve the problem, to the party.)

关于MATLAB的GUI界面学习。可以从这个程序中学习GUI界面的编程。(About the MATLAB GUI interface to learn.You can learn from this program GUI interface programming.)

matlab fir chebshev LPF

说明：  基于zernike多项式的AO方法，SLM分区域矫正的像差测量图案生成(The Ao method based on Zernike polynomials is used to generate the aberration measurement pattern by SLM)

详细介绍了3G网络的发展前景和应用程度，是一本很全的知识宝典，(Details of the 3G network development prospects and application level, is a very wide knowledge of canon,)

In this paper, a dq model based on transformation theory for five-phase induction machines is presented. A detailed implementation of an indirect-type five-phase field-orientation control including the hysteresis-type pulsewidth modulation (PWM) current regulator is described. A method for continuous and disturbance-free operation of a five-phase field-orientedcontrolled induction motor drive with complete loss of one, two, or even three legs of the inverter or motor phases is described. A complete analysis and computer simulation of this control technique is included.

spectrum of signal comminucation field

简化的频域反馈判决反馈均衡器，系数不需要每次都更新。(simplified frequency decision feedback filter ，do not need to update factor everytime)

This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly’s flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33- bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.

fastica算法实现忙元分析的算法，matlab编程