Missile guidance using neural networks
作者： Hungu Lee , Yong-In Lee , Eun-Jung Song , Byung-Chan Sun , Min-jea Tahk
DOI: 10.1016/S0967-0661(97)00059-2
关键词: Engineering 、 Control engineering 、 Control theory 、 Proportional navigation 、 Artificial neural network 、 Nonlinear system 、 Missile 、 Missile guidance 、 Inverse dynamics
摘要: Abstract This paper introduces a new guidance algorithm using neural networks for bank-to-turn (BTT) missiles. The proposed compensates the missile dynamics by inverse learned networks. law is applied to full-order nonlinear BTT model, and performance compared with that of proportional navigation law.
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