Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism
Journal article
Yang, Yang, Ge, Jingzhi, Yue, Dong, Meng, Qing and Wu, Jinran. (2020). Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. Neurocomputing. 403, pp. 304-313. https://doi.org/10.1016/j.neucom.2020.04.061
Authors | Yang, Yang, Ge, Jingzhi, Yue, Dong, Meng, Qing and Wu, Jinran |
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Abstract | An event-triggered resilient control framework is proposed for a class of uncertain nonlinear systems under DoS attacks. Unknown dynamics are approximated by fuzzy logic systems (FLSs), while a switched adaptive state observer is presented to reconstruct unavailable states in the presence of intermittent attacks. Then, the backstepping method is developed for the control scheme; additionally, a relative threshold triggered scheme is designed. Furthermore, in theory, we prove the proposed control scheme guarantees all closed-loop signals remain bounded, and the error signal converges to a small area of the origin under DoS attacks. Finally, a power networked system and a numerical example are used to verify the effectiveness of the theoretical claims in our proposed scheme. |
Keywords | event-triggered scheme; nonlinear systems; resilient control; observer |
Year | 2020 |
Journal | Neurocomputing |
Journal citation | 403, pp. 304-313 |
Publisher | Elsevier B.V. |
ISSN | 0925-2312 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.neucom.2020.04.061 |
Scopus EID | 2-s2.0-85084639982 |
Page range | 304-313 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 20 Apr 2020 |
Publication process dates | |
Accepted | 09 Apr 2020 |
Deposited | 05 Jul 2023 |
https://acuresearchbank.acu.edu.au/item/8z3w3/adaptive-resilient-control-of-a-class-of-nonlinear-systems-based-on-event-triggered-mechanism
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