Affine Transformed IT2 Fuzzy Event-Triggered Control under Deception Attacks

Seungyong Han, Suneel Kumar Kommuri, Sangmoon Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)


Stabilization of type-2 fuzzy system in the presence of cyber attacks is investigated in this article. For a practical application, a class of nonlinear system can be represented by an interval type-2 fuzzy system through a set of membership functions. Unlike existing schemes, 1) affine membership functions are considered in the controller design; moreover, 2) a robust adaptive event-triggered control is proposed to avoid the unwanted triggering events, which makes the proposed scheme more reliable and relaxes the conservativeness of stability analysis.In the numerical simulation, the mass-spring-damper system and the tracking control system are considered to illustrate the robustness and effectiveness of the proposed approach.

Original languageEnglish
Article number9107420
Pages (from-to)322-335
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Issue number2
Publication statusPublished - Feb 2021


  • Affine transformed interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems
  • cyber-physical systems (CPSs)
  • deception attacks
  • event-triggered control (ETC)
  • linear matrix inequalities (LMIs)

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