Paper Info
Title
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.
Year
DOI
Venue
2022
10.1109/TFUZZ.2022.3148875
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Denial of service (DoS) attacks,interval type-2 (IT2) fuzzy models,mismatched membership functions,resilient event-triggered (RET) strategy
Journal
30
Issue
ISSN
Citations 
10
1063-6706
1
PageRank 
References 
Authors
0.34
36
3
Name
Order
Citations
PageRank
Yingnan Pan1101.79
Yanmin Wu210.34
H. K. Lam33618193.15