A neural network surrogate predicts near-optimal gains for two-phase pure proportional navigation to minimize guidance effort for specified approach angles.
Proportional-navigation-based all-aspect approach against nonmaneuvering target using phase-plane trajectory shaping
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Surrogate Model-Based Near-Optimal Gain Selection for Approach-Angle-Constrained Two-Phase Pure Proportional Navigation
A neural network surrogate predicts near-optimal gains for two-phase pure proportional navigation to minimize guidance effort for specified approach angles.