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Get Free AccessThis article focuses on the security control for Takagi-Sugeno (T-S) fuzzy systems with adaptive event-triggered mechanism (AETM) and multiple cyber-attacks, which include deception attacks and denial-of-service (DoS) attacks. A multiple cyber-attacks model is first established for T-S fuzzy systems by considering deception attacks and DoS attacks at the same time. An AETM is introduced to relieve the network load, where the threshold of event-triggering condition can be adaptively adjusted while preserving the system performance. Then a novel mathematical model for T-S fuzzy systems with multiple cyber-attacks and AETM is proposed first. Based on the built model, sufficient conditions to guarantee the exponentially mean square stability of the system are achieved by utilizing the Lyapunov stability theory. Moreover, the controller gains are derived with the help of a linear matrix inequality technique. Finally, simulated examples are presented for illustrating the effectiveness of the proposed method.
Jinliang Liu, Tingting Yin, Jie Cao, Dong Yue, Hamid Reza Karimi (2020). Security Control for T–S Fuzzy Systems With Adaptive Event-Triggered Mechanism and Multiple Cyber-Attacks. IEEE Transactions on Systems Man and Cybernetics Systems, 51(10), pp. 6544-6554, DOI: 10.1109/tsmc.2019.2963143.
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Type
Article
Year
2020
Authors
5
Datasets
0
Total Files
0
Language
English
Journal
IEEE Transactions on Systems Man and Cybernetics Systems
DOI
10.1109/tsmc.2019.2963143
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