umat Isotropic Strain Hardening Plasticity

说明：  针对带储能的光伏系统出力不稳定问题，基于储能变流器提出了一种带有灰色补偿的Back-stepping控制方法，以实现对并网点上层规划层面有功功率P和无功功率Q指令的跟踪控制，同时保证并网点电压的 稳定。(Aiming at the problem of output instability of photovoltaic system with energy storage, a back stepping control method with gray compensation is proposed based on energy storage converter to realize the tracking control of active power P and reactive power Q command at the upper planning level of the parallel network, and to ensure the stability of the voltage of the parallel network.)

非平稳信号分析与处理,可用于特征提取，将AR模型扩展应用于非平稳时间序列，得到具有时变系数的时变自回归(time-varying autoregressive, TVAR)模型。(nonstationary random signal analysis and processing)

说明：  这是一个机器人轨迹跟踪控制的程序，应用的控制算法为滑模控制。(This is a robot trajectory tracking control program, the application of the control algorithm for sliding mode control.)

说明：  3.5 GHz 是 5G 网络部署的重要频段，本文结合射线跟踪模型，对 3.5 GHz 的无线传播特性进行了研究，并于 1.8 GHz 进行了对比，提出 5G 网络初期部署的建议(3.5GHz is an important frequency band for 5g network deployment. In this paper, the radio propagation characteristics of 3.5GHz are studied in combination with ray tracing model, and compared with 1.8GHz. Suggestions for initial deployment of 5g network are proposed)

三相桥式全控整流电路仿真，使用晶闸管进行三相桥式全控整流电路仿真。(Three-Phase Full-Bridge Controlled Rectifier)

说明：  平面用cohesive单元模拟仿真裂纹扩展和结构失效，裂纹扩展(Plane simulation of crack growth and structure failure, crack growth with cohesive element)

说明：  混响器的MATLAB实现：利用MATLAB/SIMULINK软件实现混响器(Realization of reverberator with MATLAB)

matlab实现人体回波模型创建和短时傅里叶测试(Matlab realization of human echo model and short time Fourier test)

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.)

说明：  在 Carsim 中分别搭建好前车与后车的车辆纵向动力学 模型。雷达系统将探测到的后车信息和前车信息传递给行车 间距控制系统，此控制系统根据安全距离模型计算出后车车 辆期望加速度，此期望加速度经过 PID 控制器调节后，输入 给车辆动力学系统，车辆动力学系统基于此加速度输出期望 的制动压力和节气门开度，并将此值传给制动及节气门控制 系统，此系统输出相应的制动力及节气门开度给后车动力学 系统，进行制动及加速控制。(The vehicle longitudinal dynamics of the front car and the rear car were built respectively in Carsim Model.The radar system transmits the information of the vehicle behind and the vehicle in front to the vehicle Spacing control system, this control system according to the safe distance model to calculate the rear car Vehicle expected acceleration, the expected acceleration after PID controller adjustment, input Given to the vehicle dynamics system, the vehicle dynamics system is based on this acceleration output expectation Brake pressure and throttle opening, and pass this value to brake and throttle control System, which outputs the corresponding braking force and throttle opening to the rear car dynamics System for braking and acceleration control.)