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...
Saved in:
| Published in: | International journal of robust and nonlinear control Vol. 33; no. 3; pp. 2219 - 2237 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Bognor Regis
Wiley Subscription Services, Inc
01.02.2023
|
| Subjects: | |
| ISSN: | 1049-8923, 1099-1239 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| Bibliography: | Funding information Higher Education Discipline Innovation Project, Grant/Award Number: B16009; National Natural Science Foundation of China, Grant/Award Numbers: 61773098, 61973060 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1049-8923 1099-1239 |
| DOI: | 10.1002/rnc.6490 |