Data for: Deep Learning based Adaptive Predictive Control of Radar-Guided Missile

Published: 26 August 2021| Version 1 | DOI: 10.17632/9r6737yrcv.1


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]



Engineering, Artificial Intelligence, Artificial Neural Networks, Control Systems, Genetic Algorithm, Adaptive Control System, Missile, Recurrent Neural Network, Deep Learning