CloudConfGUI-master

Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator

MIMO块对角化预编码仿真图形，这里是4发4收时的仿真图形。(Block diagonalization precoding MIMO simulation graphics, 4 fat, 4 received here when the simulation graphics.)

关于非线性离散系统辨识，包含位置式PID算法、积分分离式PID，旋转机械二维全息谱计算。( Nonlinear discrete system identification, It contains positional PID algorithm, integral separate PID, Rotating machinery 2-d holographic spectrum calculation.)

基于TOA定位法的UWB系统仿真(MATLAB)(TOA MATLAB)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

matlab 进行频谱分析。时域转换频域进行分析。(matlab frequency analytic)

经典的MUSIC算法，由特征值分解得到噪声子空间，再进行谱峰搜索(Classic MUSIC algorithm, the eigenvalue decomposition noise subspace, then the peak search)

支持向量机的实现代码,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势。(Support vector machine code)

Conjugate Gradient Method by Yi Cao

二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)