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Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems

Xing, Lantao, Wen, Changyun, Liu, Zhitao, Su, Hongye, Cai, Jianping·2017·IEEE Transactions on Automatic Control

Abstract

In this technical note, the problem of event-trigger based adaptive control for a class of uncertain nonlinear systems is considered. The nonlinearities of the system are not required to be globally Lipschitz. Since the system contains unknown parameters, it is a difficult task to check the assumption of the input-to-state stability (ISS) with respect to the measurement errors, which is required in most existing literature. To solve this problem, we design both the adaptive controller and the triggering event at the same time such that the ISS assumption is no longer needed. In addition to presenting new design methodologies based on the fixed threshold strategy and relative threshold strategy, we also propose a new strategy named the switching threshold strategy. It is shown that the proposed control schemes guarantee that all the closed-loop signals are globally bounded and the tracking/stabilization error exponentially converges towards a compact set which is adjustable.

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Metadata

Authors
Xing, L., Wen, C., Liu, Z., Su, H., & Cai, J.
Venue
IEEE Transactions on Automatic Control
Published
2017-04
Volume
62
Issue
4
Pages
2071-2076
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W2479280896
Cited by
1,582
References
0
FWCI
43.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tac.2016.2594204
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Xing, L., Wen, C., Liu, Z., Su, H., & Cai, J. (2017). Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2016.2594204

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