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Output-feedback H∞ control for IT-2 T-S fuzzy system with hybrid attacks via switching-like adaptive event-triggered mechanism
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  • Xiaoming Tang,
  • Zidi Xia,
  • Xiao Lv,
  • Mingchuan Yang,
  • Na Wei
Xiaoming Tang
Chongqing University of Posts and Telecommunications

Corresponding Author:txmmyeye@126.com

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Zidi Xia
Chongqing University of Posts and Telecommunications
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Xiao Lv
Chongqing Institute of Special Equipment Inspection
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Mingchuan Yang
Chongqing University of Posts and Telecommunications
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Na Wei
Chongqing University of Posts and Telecommunications
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Abstract

In this article, the switching-like adaptive event-triggered dynamic output feedback H ∞ control for the interval type-2 (IT-2) Takagi-Sugeno (T-S) fuzzy system over networks with hybrid attacks and Markovian packet losses is investigated. The switching-like adaptive event-triggered mechanism (SAETM) is involved with the characteristic of dynamically adjusting trigger threshold according to the change of the system states and appropriately selecting the event-triggered scheme in the light of the packet loss process is creatively proposed. The hybrid attack which is consisted of deception attack and aperiodic Denial-of-Service (DoS) attack is considered, and the deception attack is expressed as the Bernoulli random variable, while the aperiodic DoS attack is characterized by the frequency and duration in view of the average dell-time (ADT) technique. By applying the packet loss dependent multiple Lyapunov function technique and iterative method, the sufficient condition is derived to address the stability of NCS, and the existence condition is established to guarantee the prescribed performance of the H ∞ controller. Finally, two simulation examples are applied to show the availability of the provided algorithm.
08 Mar 2023Submitted to International Journal of Robust and Nonlinear Control
08 Mar 2023Submission Checks Completed
08 Mar 2023Assigned to Editor
08 Mar 2023Review(s) Completed, Editorial Evaluation Pending
14 Mar 2023Reviewer(s) Assigned
17 Apr 2023Editorial Decision: Revise Minor
10 May 20231st Revision Received
16 May 2023Submission Checks Completed
16 May 2023Assigned to Editor
16 May 2023Review(s) Completed, Editorial Evaluation Pending
19 May 2023Reviewer(s) Assigned
25 Jun 2023Editorial Decision: Accept