L1 Adaptive Neural Network Controller for Autonomous Aerial Refueling with Guaranteed Transient Performance

Autonomous aerial refueling autopilot design is addressed in this paper using a novel L1 neural network based adaptive control approach. The main advantage of the new approach is its ability of fast adaptation that leads to uniform transient performance for system’s both signals, input and output simultaneously, with guaranteed performance specifications. Simulation results verify that no retuning of the adaptive controller is required.

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