NG3125R

粒子群算法的仿真程序，并采用典型benchmark进行演示分析； 然后，应用粒子群算法进行热工过程水轮机系统模型辨识，matlab软件可直接运行； 采用粒子群算法与PID参数整定进行联合仿真，用以提高PID控制器对热工过程水轮机的控制性能。(Particle swarm algorithm simulation program, and the use of a typical benchmark for demonstration analysis; Then, the particle swarm optimization algorithm is used to identify the turbine system model of the thermal process. The matlab software can be run directly. Particle swarm algorithm and PID parameter tuning are used to simulate the PID controller to improve the control performance of the hydraulic turbine.)

说明：  voce非线性各向同性强化弹塑性本构子程序（ansys格式）(voce-Nonlinear-Isotropic Hardening usermat)

说明：  魔术轮胎公式，车辆动力学中常用的关于轮胎的建模(magic tire,used in vehicle model.)

根据给定的实验系统的参数，对采用诱骗态方案的BB84系统进行仿真，得到在不同光纤传输距离下，系统安全密钥生成率R(According to the parameters of the experimental system, the BB84 system with decoy scheme is simulated, and the system security key generation rate R is obtained under different fiber transmission distance)

说明：  车辆二自由度（三种方式），三自由度，四自由度车辆模型，参数齐全，可完美运行，绝不忽悠！(Vehicle two degrees of freedom (three ways), three degrees of freedom, four degrees of freedom vehicle model, complete parameters, perfect operation, never fooling!)

说明：  基于信噪比的协作频谱感知算法，能量检测。信噪比(Collaborative Spectrum Sensing Algorithm Based on Signal - to - Noise Ratio.Energy detection.Signal - to - Noise Ratio.)

说明：  二阶离散多智能体系统的二层邻居一致性算法研究成果(Discrete_system_for_second_order_neighbor_consensus_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.)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)

说明：  自己编写的，利用模糊数学方法计算船舶碰撞危险度得matlab程序(Self-compiled matlab program for calculating ship collision risk using fuzzy mathematics method)