Neural Network Based Adaptive Output Feedback Control for Guided Munitions

This paper presents an approach to augmenting an existing controller with a neural network based adaptive element. The approach has advantage in the sense that augmentation of neural network does not require to design a new controller architecture like an inversion controller. The approach is illustrated in an application of normal acceleration control for guided munitions