Open AccessEvent‐based fault detection for non‐linear networked systems with multi‐data transmission and output quantisation
Author(s) -
Wang XiaoLei,
Yang GuangHong
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0293
Subject(s) - transmission (telecommunications) , filter (signal processing) , computer science , logarithm , fault detection and isolation , control theory (sociology) , data transmission , event (particle physics) , algorithm , real time computing , electronic engineering , mathematics , engineering , artificial intelligence , computer hardware , telecommunications , mathematical analysis , physics , control (management) , quantum mechanics , actuator , computer vision
This study is concerned with the event‐triggered fault detection (FD) filter design problem for the discrete‐time non‐linear systems with multi‐data transmission and output quantisation. To reduce the transmission data size, the output signals are quantified by a logarithmic quantiser. Compared with the existing results, past output measurements are first introduced for packaging and transmission only when the event condition is satisfied. Based on this consideration, more data can be used by the FD filter, while using the traditional method, the FD filter can only use the current data. Finally, some simulation results show that the proposed design method can achieve a better FD performance than the existing method with current output measurements transmission.