SVD_and_SDD

基于阶跃响应的专家控制器，并使用matlab编写的m文件进行仿真(Based on the step response of the expert controller, and use the preparation of the m file matlab simulation)

说明：  用于谐波恢复的ESPRIT方法的SVD-TLS的程序实现，并进行了信号的谐波的恢复仿真实验(For the ESPRIT harmonic retrieval method of SVD-TLS program and conducted the restoration of harmonic signals in simulation)

this program is about dc motor simulation with matlab codes.

transfer function for 0.3 overshoot

说明：  关于圆盘耦合摆的研究，将介绍单圆盘耦合发电机模型和双圆盘耦合发电机模型的非线性方程组。通过对方程组的分析和MATLAB模拟计算，指出前者电流有稳定的周期解，后者在两圆盘角速度不同时可能进入混沌态，并且通过数值计算其Lyapunov指数（其中一个，出现了正值）来证明其混沌态(Research on the disk coupled pendulums, will introduce the model of a single disc and double disc coupling generator generator model coupled nonlinear equations. Equations through the analysis and MATLAB simulation, that the former current of a stable periodic solution, which is not the same in the two-disc angular velocity may enter the chaotic state, and by numerical calculation of its Lyapunov index (one of which, there have been positive) to prove the chaotic state)

永磁电机矢量控制matlab仿真，适合电驱动研究者(Matlab simulation of permanent magnet motor vector control for electrically driven researcher)

说明：  一般最小二乘及其递归算法的例子及matlab代码(Least squares examples and matlab code)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

自己编写的闭运算，用于白噪声和窄带周期干扰的抑制(I have written closing operation for the period of white noise and narrowband interference suppression)

SAR Imaging, Wavelet Processing , using LFM signal without Fast Fourier Transform