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Using Cuk Converter model

用matlab解决实际生活中的线性规划问题 属于实例教程 模拟一次函数 二次函数等求出最优解(The optimal solution using matlab to solve real-life examples of linear programming problems belong to simulate a tutorial function, such as a quadratic function)

这是一个利用卡尔曼滤波算法进行系统辨识的MATLAB程序。(This is a MATLAB program for system identification using Kalman filter algorithm)

说明：  这是捷联惯导系统一阶、二阶微分方程法和一阶、二阶四元数法和完整解之间的误差代码(This is the sins of the first order, second order differential equation method and first order, second order quaternion method and the error between the full code solution)

已知光纤各参数，纤芯、包层折射率，芯径以及传输波长，做出光纤特征方程随U值变化的曲线，可据此求出U，继而求出传输常数(get the propagation constant by solving the characteristic function in a multimode fiber)

程序名称:gm21.m GM(2,1)模型 程序功能:利用GM(2,1)模型进行预测。 程序编写:mongvi@126.com 开发指导:刘思峰教授 程序发布:南京航空航天大学灰色系统研究所(Program name: GM gm21.m (2,1) model Program function: using GM (2,1) model to predict. Programming: mongvi@126.com Development direction: Professor Liu Sifeng)

梳妆导频的程序使用，对于信道估计有着很大的作用(Dressing procedure for the use of pilot for channel estimation has a significant role in)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

matlab最优化工具箱 (Matlab Toolbox Matlab Optimization Optimization Toolbox)

POWER FLOW analysis method