Adaptive Event-Triggered Fault Detection Scheme for Semi-Markovian Jump Systems With Output Quantization

This paper examines the adaptive event-triggered fault detection problem of semi-Markovian jump systems (S-MJSs) with output quantization. First, we develop an adaptive event-triggered scheme for S-MJSs that is more effective than conventional event-triggered strategy for decreasing network transmission information. Meanwhile, we design a new adaptive law that can dynamically adjust the event-triggered threshold. Second, we consider output signal quantization and transmission delay in the proposed fault detection scheme. Moreover, we establish novel sufficient conditions for the stochastic stability in the proposed fault detection scheme with an H-infinity performance with the help of linear matrix inequalities (LMIs). Finally, we provide simulation results to demonstrate the usefulness of the developed theoretical results.

Automated summary

This paper proposes an adaptive event-triggered fault detection scheme for semi-Markovian jump systems that dynamically adjusts event-triggered threshold and considers output signal quantization and transmission delay to improve system efficiency and stability. Novel sufficient conditions for stochastic stability and H-infinity performance are established using linear matrix inequalities (LMIs) in the proposed scheme, and simulation results are provided to demonstrate the usefulness of the developed theoretical results.