Event‐triggered H∞ control for switched interval type‐2 fuzzy systems under denial‐of‐service

This article focuses on the H∞$$ {H}_{\infty } $$ control problem for event‐triggered switched interval type‐2 (IT2) fuzzy systems under denial‐of‐service (DoS) attacks. For a switched IT2 fuzzy system subject to DoS attacks, we introduce an acknowledgment (ACK) mechanism to detect DoS attacks. With...

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Veröffentlicht in:International journal of robust and nonlinear control Jg. 33; H. 3; S. 2219 - 2237
Hauptverfasser: Qu, Hanqing, Zhao, Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.02.2023
Schlagworte:
Controllers
DoS attacks
Fuzzy systems
H-infinity control
H∞$$ {H}_{\infty } $$ control
resilient event‐triggering scheme
sampled‐based switching law
Stability
switched IT2 fuzzy systems
System effectiveness
ISSN:1049-8923, 1099-1239
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Zusammenfassung:This article focuses on the H∞$$ {H}_{\infty } $$ control problem for event‐triggered switched interval type‐2 (IT2) fuzzy systems under denial‐of‐service (DoS) attacks. For a switched IT2 fuzzy system subject to DoS attacks, we introduce an acknowledgment (ACK) mechanism to detect DoS attacks. With the help of the ACK detection scheme, we take the initiative to zero the input signal being attacked. In this way, when the system is being attacked, we need not consider issues of controller premise variables not being updated and the controller mode unmatched with the plant mode. Then, an event‐triggering scheme resilient to DoS is presented to reduce the bandwidth pressure of the network. Moreover, we design a sampled‐based switching law to not only achieve the stability of switched systems but also exclude the Zeno behavior of switchings. Sufficient conditions are proposed to guarantee the stability with the H∞$$ {H}_{\infty } $$ performance of switched IT2 fuzzy systems under DoS. Finally, we give two examples to testify the effectiveness of our results.
Bibliographie:Funding information
Higher Education Discipline Innovation Project, Grant/Award Number: B16009; National Natural Science Foundation of China, Grant/Award Numbers: 61773098, 61973060
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.6490