Data for: Deep Learning based Adaptive Predictive Control of Radar-Guided Missile
收藏资源简介：
The attached file contains the training data generated by using genetic algorithm for the missile-target system. fopid_vals : the 5 FOPID parameters (Kp, Ki, Kd, λ, μ) for each iteration of each GA run, [43218 x 5] md_vals : the corresponding miss-distance values, [43218 x 1] theta_vals : the corresponding values of the relative target direction, [43218 x 1]. In addition, optim_table : the optimal values of the FOPID parameters for all possible target directions from 0 deg to 360 deg, with an increment of 1 deg, [361x8]; where the 8 columns correspond to: [theta (in deg), theta (in radians), miss-distance, Kp, Ki, Kd, λ, μ]
本附件文件包含针对导弹-目标系统采用遗传算法（Genetic Algorithm, GA）生成的训练数据。 fopid_vals：代表每次遗传算法运行的每一轮迭代中对应的5个分数阶比例-积分-微分（Fractional Order Proportional-Integral-Derivative, FOPID）参数，即Kp、Ki、Kd、λ、μ，数据维度为[43218 × 5]。 md_vals：为与之对应的脱靶量数值，数据维度为[43218 × 1]。 theta_vals：为与之对应的相对目标方位角数值，数据维度为[43218 × 1]。 此外，optim_table：涵盖了0°至360°（步长为1°）所有可能目标方位角下的FOPID最优参数，数据维度为[361 × 8]；其中8个列依次对应：[方位角θ（单位：度）、方位角θ（单位：弧度）、脱靶量、Kp、Ki、Kd、λ、μ]
