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- Title
Adaptive finite‐time stabilizing control of fractional‐order nonlinear systems with unmodeled dynamics via sampled‐data output‐feedback.
- Authors
Mao, Jun; Wang, Ronghao; Zou, Wencheng; Xiang, Zhengrong
- Abstract
This article realizes an adaptive finite‐time sampled‐data output‐feedback stabilization for a class of fractional‐order nonlinear systems with unmodeled dynamics and unavailable states. K‐filters are constructed to estimate unavailable states, a dynamic signal is introduced to handle unmodeled dynamics and neural networks were used to approximate uncertain nonlinearities existed in stabilizer construction. With the help of backstepping technique, an adaptive sampled‐data output‐feedback stabilizer is exported, and such stabilizer with allowable design parameters and sampling period can render the corresponding closed‐loop system reaches practically finite‐time stable, which can be demonstrated by means of selected Lyapunov function candidates. In the end, two simulations with a numerical and an engineering examples are presented to verify the effectiveness of the proposed scheme.
- Subjects
NONLINEAR systems; ADAPTIVE fuzzy control; SYSTEM dynamics; BACKSTEPPING control method; CLOSED loop systems; LYAPUNOV functions; PSYCHOLOGICAL feedback
- Publication
International Journal of Robust & Nonlinear Control, 2024, Vol 34, Issue 7, p4898
- ISSN
1049-8923
- Publication type
Article
- DOI
10.1002/rnc.7239