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Security-Based Fuzzy Control for Nonlinear Networked Control Systems With DoS Attacks via a Resilient Event-Triggered Scheme
Abstract
This article studies the issue of resilient event-triggered (RET)-based security controller design for nonlinear networked control systems (NCSs) described by interval type-2 (IT2) fuzzy models subject to nonperiodic denial of service (DoS) attacks. Under the nonperiodic DoS attacks, the state error caused by the packets loss phenomenon is transformed into an uncertain variable in the designed event-triggered condition. Then, an RET strategy based on the uncertain event-triggered variable is firstly proposed for the nonlinear NCSs. The existing results that utilized the hybrid triggered scheme have the defect of complex control structure, and most of the security compensation methods for handling the impacts caused by DoS attacks need to transmit some compensation data when the DoS attacks disappear, which may lead to large performance loss of the systems. Different from these existing results, the proposed RET strategy can transmit the necessary packets to the controller under nonperiodic DoS attacks to reduce the performance loss of the systems and a new security controller subject to the RET scheme and mismatched membership functions is designed to simplify the network control structure under DoS attacks. Finally, some simulation results are utilized to testify the advantages of the presented approach.
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Citations
Cited by
Observer-Based Dynamic Event-Triggered Control for Multiagent Systems With Time-Varying Delay
Cao, L., Pan, Y., Liang, H., & Huang, T. (2023) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3226873 · Cited by 340
Self-citationZhang, Z., Song, X., Sun, X., & Stojanovic, V. (2023) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3529 · Cited by 145
Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach
He, P., Wen, J., Stojanovic, V., Liu, F., & Luan, X. (2022) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2022.06.043 · Cited by 122
Metadata
- Authors
- Pan, Y., Wu, Y., & Lam, H.-K.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2022-10
- Volume
- 30
- Issue
- 10
- Pages
- 4359-4368
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W4210935577
- Cited by
- 475
- References
- 0
- FWCI
- 41.83
- Type
- journal article
- Language
- en
- Open access
- closed
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