Strong Prescribed-Time Stabilization of Uncertain Nonlinear Systems by Periodic Delayed Feedback

成果类型:
Article
署名作者:
Ding, Yi; Zhou, Bin; Zhang, Kang-Kang; Michiels, Wim
署名单位:
Harbin Institute of Technology; KU Leuven
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3347703
发表日期:
2024
页码:
4072-4079
关键词:
High-order nonlinear systems periodic delayed feedback (PDF) prescribed-time stabilization strong prescribed-time stabilization
摘要:
In this article, a novel Lyapunov-based approach for strong prescribed-time stabilization by periodic delayed feedback is established. Since the comparison lemma cannot be directly applied to time-delay systems, their proofs rely on trajectory analysis. Based on this approach, a novel control law for strong prescribed-time stabilization of uncertain scalar nonlinear systems is obtained, with the following appealing properties: singularity problems inherent to time-varying high gain approaches are avoided; strong prescribed-time stabilization is achieved with control terms exhibiting a linear growth rate in the combined current and delayed state variable; the achieved fixed-time stability is preserved under classes of additive perturbations; and the setting time of the closed-loop system equals the prescribed value for some admissible uncertainties. Subsequently, using the backstepping procedure, a strongly prescribed-time stabilizing control law for strict feedback uncertain nonlinear systems is designed. Numerical simulations are shown to verify the effectiveness of the proposed approaches.
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