Adaptive Flight Control with Guaranteed Convergence
نویسندگان
چکیده
We present a Concurrent-Learning approach for adaptive control that uses recorded data concurrently with instantaneous data for adaptive flight control. Concurrent learning can guarantee tracking error and weight error convergence to zero subject to a verifiable condition on linear independence of the recorded data; without requiring persistency of excitation in the system states. Simulation study of attitude tracking of an aircraft in presence of wing rock dynamics is used to highlight the benefits of the presented approach.
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