21104229

Emitter Recognition Based on Modified X-means

三相逆变器仿真模型，dq解耦控制，SPWM，包含MPPT算法。(three phase inverter model, dq control, SPWM, MPPT included.)

最大类间方差法求阈值(thanks)

国外使用面元法计算翼型升力的matlab程序包(matlab program using panel method to solve the lift of the foil)

有关matlab 软件学习的书籍(Matlab software to learn about books)

以Simulink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真。介绍了模声封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术与实时控制技术。(Simulink as the main tool to introduce a system simulation methods and techniques, including continuous systems, discrete systems, stochastic input system and the simulation of complex systems. Introduce a sound module packaging technology, power system module set, non-linear system design blockset, S-function of the preparation and application, Stateflow finite state machine, virtual reality and other high use of the toolbox, and finally also introduce a semi-physical simulation technology and real-time control technology.)

说明：  matlab状态方程的设计和一个自己编的小小的filter文件请指教！！1(Matlab equation of state of their own design and a series of small filter paper please enlighten! ! 1)

zoomig and add-subtract and multiplying image

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  MATLAB神经网络应用设计:书中实例源程序！ 方便大家学习！(Application of MATLAB neural network design: example of source book! To facilitate learning!)