Abstract
This paper illustrates an application of a recently developed set-theoretic model reference adaptive control architecture on a generic transport model developed by NASA. The set- theoretic model reference adaptive control allows the system error bound between the state of an uncertain dynamical system and the state of a given reference model to be less than a-priori, user-defined worst-case performance bound. Thus, it has the capability to enforce strict performance guarantees to the adaptively controlled uncertain dynamical systems. specifically, after designing set-theoretic adaptive controllers for both longitudinal and lateral-directional dynamics here, the efficacy of this architecture is illustrated on the NASA generic transport model.
Recommended Citation
E. Arabi et al., "Set-Theoretic Model Reference Adaptive Control of a Generic Transport Model," AIAA Guidance, Navigation, and Control Conference, 2018, American Institute of Aeronautics and Astronautics, Jan 2018.
The definitive version is available at https://doi.org/10.2514/6.2018-1126
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Full Access
International Standard Book Number (ISBN)
978-162410526-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Institute of Aeronautics and Astronautics, All rights reserved.
Publication Date
01 Jan 2018
Comments
National Aeronautics and Space Administration, Grant NNX15AM51A