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粒子群算法求解最优化算法的MATLAB程序！！！！(Particle swarm optimization algorithm for solving the MATLAB program! ! ! !)

是路径规划的实用方法，基于欧几里得距离的聚类分析，时间序列数据分析中的梅林变换工具，最小二乘回归分析算法，通过反复训练模板能有较高的识别率，IMC-PID是利用内模控制原理来对PID参数进行计算，基于SVPWM的三电平逆变的matlab仿真，包括面积、周长、矩形度、伸长度。( Is a practical method of path planning, Clustering analysis based on Euclidean distance, Time series data analysis Mellin transform tool, Least-squares regression analysis algorithm, Through repeated training XxaYeFylate have higher recognition rate, The IMC- PID is using the internal model control principle for PID parameters is calculated, Based on SVPWM three-level inverter matlab simulation, Including the area, perimeter, rectangular, elongation.)

粒子群算法阵列优化，对阵列方向图的综合，实现低副瓣阵列方向图(Particle swarm optimization (PSO) algorithm for array pattern synthesis to achieve low sidelobe array pattern)

该源码是采用dspbuilder进行设计，目的是完成一个为随机m序列校验器，很有用看看就知道了(The source is dspbuilder design, the purpose is to complete a sequence of random m validator, useful look at the know)

Lyapunov 数值计算，行相空间重构并利用改进方法计算L yapunov 指数(Lyapunov numerical calculation, the phase-space reconstruction and the use of improved methods of calculating L yapunov Index)

MATLAB写自相关函数，M序列的MATLAB产生(MATLAB to write auto-correlation function, M sequences generated MATLAB)

ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 分别用朴素法和最优法，并且在时域和频域进行比较。(ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2, respectively, and the optimal use of a simple law, and in time domain and frequency domain comparison.)

主要讲述了matlab软件在自动控制中应用，利用matlab分析系统稳定性，特点，设计系统等等(Matlab software mainly about the application of automatic control, system stability analysis using matlab, features, design systems, etc.)

通过设置不同的参数利用Matlab软件仿真了不同场景下的系统性能 (This document suggests a user’s guide to a MATLAB application which simulates a Spatial Channel Model (SCM) based on reference [1] with some minor adjustments. It focuses on how to use the Graphical User Interfaces (GUIs) and the functions of the application and avoids going into specifics about the nature of the parameters as this is done analytically in the reference document)

dc motor model in simulink