J2

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abaqus中可以实现零厚度的cohesive插入(Implementing cohesive insertion with zero thickness)

说明：  abaqus纯镁切削算例文件，可直接计算(ABAQUS pure magnesium cutting example file can be directly calculated)

统一潮流控制UPFC仿真模型，230kV(Unified power flow control UPFC simulation model, 230kV)

说明：  高压共轨系统模型，包括喷油器，油泵，共轨(High pressure common rail system model, including injector, oil pump, common rail)

说明：  GRNN网络的预测——基于广义回归神经网络的货运量预测(Prediction of GRNN Network-- Freight Volume Forecast based on Generalized regression Neural Network)

通过carsim与matlab联合仿真，基于模型预测控制算法的无人车辆轨迹跟踪（内含五个matlab编程代码）(Through simulation of CarSim and MATLAB, achieving trajectory tracking control of intelligent automotive based on MPC (containing five matlab programming code))

说明：  将一个50Hz的干扰信号加入到白噪声中，然后对合成信号做fft，得到相应的幅频谱图和相位谱图。(A 50 Hz interference signal is added to the white noise, and then the composite signal is FFT to get the corresponding amplitude spectrum and phase spectrum.)

说明：  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：  基于仿真噪声信号的随机共振分析，结果准确可靠(Based on stochastic resonance analysis of simulated noise signal, the results are accurate and reliable)