Adaptive Control Algorithm for Linear Systems with Matched and Unmatched Uncertainties

Date

2016-12-14

Author

Yayla, Metehan
Kutay, Ali Türker

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In this paper, a new uncertainty identification method is introduced for both matched and unmatched uncertainties in an uncertain dynamical system. Online identifications of matched and unmatched uncertainties that can be linearly parameterized are ensured without requiring persistent excitation (PE) condition. Furthermore, constant weight matrices that parameterizes the unstructured uncertainties are guaranteed to stay bounded without PE. Findings are implemented on a hybrid adaptive control design, and global exponential stability is established.

Subject Keywords

PERSISTENCY, CONVERGENCE, EXCITATION, PARAMETER

URI

https://hdl.handle.net/11511/53209

Conference Name

55th IEEE Conference on Decision and Control (CDC)

Collections

Department of Aerospace Engineering, Conference / Seminar

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Citation Formats

M. Yayla and A. T. Kutay, “Adaptive Control Algorithm for Linear Systems with Matched and Unmatched Uncertainties,” presented at the 55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53209.