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A theoretical development of L1 Adaptive Control for switched reference models is provided. Many situations might call for changing the reference model, but here we consider an application to a Learn-to-Fly framework. Learn-to-Fly is an architecture for combining real-time modeling (learning) with guidance and control algorithms.

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This page is a summary of: L1 Adaptive Control with Switched Reference Models: Application to Learn-to-Fly, Journal of Guidance Control and Dynamics, December 2022, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.g006305.
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