Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 48; no. 11; pp. 1851 - 1862
• Main Authors: Pan, Yingnan, Yang, Guang-Hong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bandwidths; Communication; Communications systems; Delays; Design engineering; Event-triggered mechanism; Fault detection; fault detection (FD); Filter design (mathematics); Fuzzy systems; interval type-2 (IT2) fuzzy systems; Lower bounds; Nonlinear systems; Parameter uncertainty; Quantization (signal); Stability analysis; Symmetric matrices; System effectiveness; Uncertain systems
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2017.2719629

This paper investigates the problem of event-triggered fault detection (FD) filter design for nonlinear networked systems in the framework of interval type-2 fuzzy systems. In the system model, the parameter uncertainty is captured effectively by the membership functions (MFs) with upper and lower bounds. For reducing the utilization of limited communication bandwidth, an event-triggered communication mechanism is applied. A novel FD filter subject to event-triggered communication mechanism, data quantization, and communication delay is designed to generate a residual signal and detect system faults, where the premise variables are different from those of the system model. Consequently, the augmented FD system is with imperfectly matched MFs, which hampers the stability analysis and FD. To relax the stability analysis and achieve a better FD performance, the information of MFs and slack matrices are utilized in the stability analysis. Finally, two examples are employed to demonstrate the effectiveness of the proposed scheme.