Open AccessEvent‐triggered fault‐tolerant control for networked systems with dynamic quantiser
Author(s) -
Duan Kai,
Zhang Weidong
Publication year - 2016
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.2015.0884
Subject(s) - control theory (sociology) , actuator , fault tolerance , controller (irrigation) , networked control system , computer science , bernoulli's principle , event (particle physics) , fault (geology) , control reconfiguration , fault detection and isolation , focus (optics) , control engineering , engineering , control (management) , distributed computing , artificial intelligence , physics , optics , quantum mechanics , seismology , geology , agronomy , biology , aerospace engineering , embedded system
In this study, the authors mainly focus on the event‐triggered control design problem of networked control systems (NCSs) with dynamic quantisation and fault. The research contents are divided into two parts. The first part assumes that quantised measurements of the state are available, asymptotic stability analysis and feedback controller design of the event‐triggered NCSs with constant sensor fault and actuator fault are accomplished. The second part assumes that quantised measurements of the input are available, stochastic actuator fault, which is modelled by the Bernoulli distributed white sequence is considered in this situation, and a robust feedback controller is designed. At the end, numerical examples are given to illustrate the effectiveness of the obtained results.