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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)

说明：  在fluent仿真软件中定义DPM两相流计算(Fluent user defined DPM Model)

转子磁场定向矢量控制的PWM逆变器仿真模型(Simulation Model of PWM Inverter with Rotor Field Oriented Vector Control)

mmg模型控制下的船舶运动控制来仿真模拟船舶航迹舵控制的船舶操纵性方程(Ship motion control under MMG model control is used to simulate ship maneuvering equation controlled by ship track and rudder.)

说明：  对目标追踪的ekf算法，pf算法，ukf算法的比较，误差分析(Comparison and error analysis of EKF algorithm, PF algorithm and UKF Algorithm for target tracking)

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：  六边形蜂窝自动建模插件，能在abaqus中自动建立蜂窝模型(Hexagonal honeycomb automatic modeling plug-in)

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.)

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

说明：  These composite materials generally exhibit brittle damage behavior. The anisotropy in the material and different kinds of failure mechanisms make it difficult to accurately characterize the behavior of composite materials. The present work aims to verify and apply the Puck Failure Criteria using the commercially available finite element package ANSYS by writing a user-material subroutine in FORTRAN. The model is implemented with different post failure degradation schemes EWM/CSE.