Abstract
This paper introduces a new guidance algorithm using neural network for bank-to-turn (BTT) missiles. The proposed guidance algorithm compensates for the missile dynamics using the inverse dynamics learned by a neural network. The new guidance law is applied for a full-order nonlinear BTT missile model and the performance is compared with that of the proportional navigation guidance law.
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