test

实测可用的PV特性分析，增加几个个人搜集的扰动观察法代码，可以共同学习研究(The available PV characteristic analysis of the actual measurement can be added with the disturbance observation code collected by several individuals, which can be studied together)

说明：  利用MATLAB实现平行泊车过程演示，实现泊车动画演示。(MATLAB parallel parking process demonstration.)

两个基于ANSYS平台的谱分析例子的命令流(Two command streams based on ANSYS platform for spectrum analysis)

说明：  主要解决移动机器人路径规划问题，采用Matlab语言编程。(It mainly solves the path planning problem of mobile robot.)

说明：  混合粒子群求解TSP问题，重新定义了离散粒子群算法DPSO的速度和位置公式,使其适宜求解离散问题.针对DPSO易早熟,收敛慢的缺陷,建立局部极小区域的扰动机制,在结合局部搜索算法PSEC后,提出了一种混合离散粒子群算法HDPSO.(Hybrid particle swarm optimization for TSP)

估算锂电池soc的MATLAB simulink模型(MATLAB Simulink model for estimating SOC of lithium battery)

一个用于模拟声波在非线性介质中传播的matlab工具箱，可以用来进行超声相关的实验。(Realization of ultrasonic simulation)

说明：  udf算法，FLUENT模拟定义，在不同时间变热流密度下进行用户自定义设置(Temperature UDF algorithm)

分别对matlab和ansys两种平台的拓扑优化结果分析比较，为学习者提供了两种不同优化设计思路，过程详细清晰，易于学习理解(The analysis and comparison of topology optimization results between MATLAB and ANSYS two platforms provide two different optimization design ideas for learners. The process is clear and clear, and easy to learn and understand.)

对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.)