Open AccessOn finite‐level dynamic quantisation of event‐triggered networked systems with actuator fault
Author(s) -
Duan Kai,
Cai Yunze,
He Xing,
Zhang Weidong
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.2016.1412
Subject(s) - control theory (sociology) , actuator , controller (irrigation) , network packet , fault (geology) , dropout (neural networks) , computer science , networked control system , exponential stability , stability (learning theory) , fault tolerance , engineering , control engineering , control (management) , artificial intelligence , nonlinear system , physics , distributed computing , computer network , quantum mechanics , machine learning , seismology , agronomy , biology , geology
This study addresses the networked control problem for event‐triggered systems with quantisation effect and actuator fault. A new type of finite‐level dynamic logarithmic quantiser is proposed here. Firstly, when the actuator is subjected to deterministic fault and time delay occurs in the network between the sensor and the controller, stability analysis and stabilisation of the system are accomplished. Secondly, suppose the actuator is subjected to stochastic fault and there is packet dropout in the network between the sensor and the controller, the asymptotic stability of the system is analysed, and a mean‐square feedback controller is designed. Finally, simulation studies are made to verify the effectiveness of the presented method.