新建文件夹

说明：  ABAQUS二次开发—材料初始失效准则及损伤演化准则(criteria for initial failure and damage evolution of materials)

说明：  状态空间Boost建模，用增广系统进行状态反馈控制恒压(The state space boost model is built, and the augmented system is used to control the constant voltage)

对连续波雷达系统从数据建模到后续处理最后检测目标(For continuous wave radar system, from data modeling to subsequent processing, final detection target.)

高频高压开关电源，采用LLC软开关技术，多用于静电除尘领域(high frequency high voltage switch power supply)

说明：  根据一设定运动轨迹进行模糊pid观测器设定，让后进行跟踪，实现有效跟踪。(According to a set motion trajectory, the fuzzy PID observer is set, and then the tracking is carried out to achieve effective tracking.)

说明：  卫星姿态是指卫星星体在轨道上运行所处的空间指向状态。将直角坐标系的原点置于星体上，指向地面的Z轴反映偏航方向，Y轴反映俯仰方向，X轴反映滚动方向。星体在高空中沿局部地球铅垂方向和轨道矢量方向运行，不时地产生对三轴的偏移。姿态控制是通过姿态控制分系统（ACS）来实现，使用地平扫描仪可感应俯仰和滚动轴的姿态误差，使用速度陀螺仪和罗盘可感应偏航轴的姿态误差。(Satellite attitude refers to the spatial orientation of a satellite in orbit. The origin of the Cartesian coordinate system is placed on the star, the Z axis pointing to the ground reflects the yaw direction, the Y axis reflects the pitching direction, and the X axis reflects the rolling direction. The stars move along the direction of the earth's vertical direction and the orbit vector in the high altitude, resulting in the deviation of the three axis from time to time. Attitude control is realized by attitude control subsystem (ACS). The attitude error of pitch and rolling axis can be induced by using horizon scanner, and the attitude error of yaw axis can be induced by using speed gyroscope and compass.)

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：  lm求解非线性方程组(Solving nonlinear equations by LM)

利用D-S证据推理数据融合算法实现目标识别(Target Recognition Using D-S Evidence Reasoning Data Fusion Algorithm)

纳入了机械损伤和应变速率的断裂UMAT子程序，不能用于平面应力。(The fracture UMAT subroutine incorporating mechanical damage and strain rate can not be used for plane stress.)