Fault Detection for Interval Type-2 Fuzzy Markov Jump Systems With Medium Access Constraints and False Data Injection Attacks

Abstract

This article focuses on the asynchronous fault detection (FD) problem for interval type-2 (IT2) fuzzy Markov jump systems with medium access constraints and false data injection attacks. Considering that the medium access constraints allow only the measurement information from a single node to be transmitted and the authenticity of the measured values is corrupted by attacks, a fuzzy-model-based asynchronous FD filter with only partially available measurements is designed. Then, based on the residual signals generated by the filter, a generalized detection scheme for sensor faults and actuator faults is proposed. By applying the information about membership functions and relaxation matrices, the existence conditions of the filter are obtained that guarantee the stochastic stability and strict dissipativity of the filtering error system. Finally, a simulation example is provided to validate the effectiveness of the proposed approach, which shows that it can more accurately identify the actual fault signal than the existing methods without generating false alarms.