Asynchronous Fault Detection Filter Design for T-S Fuzzy Singular Systems via Dynamic Event-Triggered Scheme

This article considers the problem of asynchronous fault detection filter (FDF) design for Takagi-Sugeno (T-S) fuzzy singular systems via dynamic event-triggered scheme. A mode-dependent dynamic event-triggered scheme is adopted to alleviate the communication load. Besides, a hidden Markov model is introduced to describe the asynchronous phenomenon between the system and the FDF. First, some sufficient criteria are established to ensure that the residual system is stochastically admissible with a certain H-8 performance. Second, solvability criteria are presented to codesign the desired FDF gains and the event-triggered matrices. Finally, the correctness of the proposed method is shown by two examples.

Automated summary

This article addresses the problem of asynchronous fault detection filter (FDF) design for Takagi-Sugeno (T-S) fuzzy singular systems using a dynamic event-triggered scheme. The mode-dependent dynamic event-triggered scheme is adopted to reduce the communication load. A hidden Markov model is introduced to capture the asynchronous phenomenon between the system and the FDF. Sufficient criteria are established to ensure the stochastically admissible residual system with a certain H-8 performance. Solvability criteria are presented to co-design the desired FDF gains and event-triggered matrices. The proposed method is validated through two examples.