Open AccessEvent‐triggered distributed fault detection over sensor networks in finite‐frequency domain
Author(s) -
Ju Yamei,
Wei Guoliang,
Ding Derui,
Liu Shuai
Publication year - 2019
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.2018.6285
Subject(s) - control theory (sociology) , robustness (evolution) , fault detection and isolation , filter (signal processing) , frequency domain , computer science , residual , lyapunov stability , algorithm , control (management) , artificial intelligence , actuator , computer vision , biochemistry , chemistry , gene
In this study, the event‐triggered distributed fault detection problem is investigated for a class of discrete‐time uncertain systems in the finite frequency domain. A sensor network is utilised to collect the information of interest, and an event‐triggered communication scheme is adopted to alleviate the communication burden. For the addressed problem, a distributed fault detection filter is designed based on the measurement information from its neighbouring nodes and itself by the given topology. In addition, a fashionable index, named as H −/ H ∞performance, is employed in order to simultaneously achieve the residual sensitivity to faults and the robustness against disturbances. By resorting to Euler's formula combined with Lyapunov stability theory, some sufficient conditions are established to satisfy the desired performance over a given finite‐frequency domain, and the distributed fault detection filter gains are explicitly characterised by solving a series of linear matrix inequalities. A simulation example is conducted to illustrate the feasibility of the proposed filter design technique.