Li, F., Li, K. orcid.org/0000-0001-6657-0522, Gao, L. et al. (1 more author) (2024) Fuzzy H∞ control of nonlinear DC microgrids under aperiodic DoS attacks – an event-triggered approach. International Journal of Systems Science, 55 (15). pp. 3272-3290. ISSN 0020-7721
Abstract
This paper studies the fuzzy H∞ control of nonlinear DC microgrids subject to the dynamic event-triggered mechanism (ETM), aperiodic DoS attacks, noises and mismatching premises. First, using the information of DC microgrid's T-S fuzzy model and aperiodic DoS attacks, a discrete-time resilient dynamic ETM is proposed, which can save constrained system resources, as well as actively exclude attack-induced dropouts and Zeno behaviour. Second, a fuzzy switched system model is built, which provides a unified platform to evaluate effects of all the affecting factors such as the dynamic ETM and DoS attacks. Third, by constructing a piecewise Lyapunov functional, criteria for exponential stability with guaranteed H∞ performance are obtained, and an event-triggered fuzzy injection current controller is further designed. Simulation results confirm that, in the presence of aperiodic DoS attacks and noises, the proposed controller can stabilise the nonlinear DC microgrids, while the dynamic ETM works well in reducing the triggering rate without dropouts. Tradeoffs can be made between control and communication resources, and the proposed fuzzy controller achieves shorter settling times and smaller overshoots than the robust controller.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in International Journal of Systems Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | DC microgrids, DoS attacks, fuzzy controlevent-triggered control, exponential stability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2024 09:37 |
Last Modified: | 30 Sep 2024 13:40 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/00207721.2024.2367713 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214314 |
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