Abstract
This article presents a new sampled-data-based event-triggered pointwise security controller by pointwise measurements for partial differential equation (PDE) systems under stochastic cyberattacks. First, according to the Takagi-Sugeno fuzzy model, the considered nonlinear system is reconstructed and an event-triggered pointwise fuzzy controller is proposed with pointwise measurements. Moreover, networked control systems are introduced to improve the transmission convenience; however, two deception cyberattacks with different characteristics are brought into PDE systems for the first time. In addition, based on novel Lyapunov-Krasovskii functionals, some relaxed conditions to assure system's exponential stability are established. Finally, the effectiveness and practicability of the designed controller are demonstrated by numerical and application examples.
Original language | English |
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Pages (from-to) | 2693-2705 |
Number of pages | 13 |
Journal | IEEE Transactions on Fuzzy Systems |
Volume | 30 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2022 Jul 1 |
Bibliographical note
Funding Information:The work of Xiaona Song was supported in part by the National Natural Science Foundation of China under Grant 61976081 and in part by the Natural Science Fund for Excellent Young Scholars of Henan Province under Grant 202300410127. Thework ofChoon Ki Ahnwas supported in part by theNational Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449.
Publisher Copyright:
© 1993-2012 IEEE.
Keywords
- Event-triggered security control
- PDE systems
- pointwise measurements and pointwise fuzzy control
- relaxed stability condition
- stochastic cyberattacks
ASJC Scopus subject areas
- Control and Systems Engineering
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics