Abstract
This paper presents an innovative event-triggered control scheme for addressing the stabilization problem of polynomial fuzzy systems under the influence of Denial-of-Service (DoS) attacks. The proposed controller utilizes a sampling-based event-triggered mechanism to reduce communication resources and avoid Zeno behavior. Furthermore, a novel polynomial fuzzy model-based control system is developed to investigate the impact of periodic DoS attacks and the addressed event-triggered mechanism on system stability. To improve system performance, control gains are updated at each triggering instant. The exponential stability criteria are formulated in the form of sum-of-square constraints, supported by a triggering instant dependent piecewise Lyapunov-Krasovskii functional and an online asynchronous premise reconstruction approach. Finally, the efficiency and usefulness of the theoretical findings are validated through simulation examples.
Original language | English |
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Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | Mathematics and Computers in Simulation |
Volume | 218 |
DOIs | |
State | Published - Apr 2024 |
Keywords
- Denial-of-Service attack
- Event-triggered controller
- Polynomial fuzzy systems