libsvm-3.19

I upload T-S fuzzy matlab code

《精通MATLAB与C/C++混合程序设计》刘维第二版( Proficient in MATLAB and C/C++ mixed programming design second edition of Liu Wei)

说明：  这是遗传算法的工具箱，在MATLAB中才能运行(This is the genetic algorithm toolbox, can be run in MATLAB)

电力系统潮流计算的计算机算法—PQ分解法潮流计算(Power Flow Calculation of the computer algorithm-PQ decomposition of power flow calculation)

这是关于机器人定位方面的代码,关于Monte Carlo的一些详尽算法.希望对大家有用.来自多蒙工大.(implement a Monte Carlo localization scheme for a 3DOF mobile robot.hope useful for you..)

水箱液位模糊控制仿真程序 该程序分六步将水位的模糊控制过程仿真出来(Water level fuzzy control simulation program The program is divided into six steps to the water level fuzzy control process simulation out)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

北京理工大学王菲教授讲述的大学物理及力学和热学的内容(Beijing Institute of Technology Professor Wang Fei told a university physics and mechanical and thermal content of)

用matlab绘制的车辆制动曲线，以起亚K9为参考模型，用的时候改下参数即可(Matlab mapping the vehicle braking curve, the Kia K9 as a reference model, when used to change the parameters can be)

求电力系统状态估计ieee9节点 的雅阁比矩阵(Seeking power system state estimation Accord than ieee9 node matrix)