Actuator Fault Estimation of a Networked Control System with Packet Loss

In this article, the actuator fault estimation of a networked control system (NCS) with packet dropout is studied. First, a Markov chain is utilized to describe the packet loss behaviour. Then, the global system is modelled as a Markovian jump linear system (MJLS). Next, a proportional–integral obse...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2021-12, Vol.32 (6), p.1553-1562
Main Authors: El Abbadi, Reda, Jamouli, Hicham
Format: Article
Language:English
Subjects:
Actuators
Control
Control and Systems Theory
Control systems
Electrical Engineering
Engineering
Linear matrix inequalities
Markov chains
Matrix theory
Mechatronics
Network control
Robotics
Robotics and Automation
Slack variables
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Summary:In this article, the actuator fault estimation of a networked control system (NCS) with packet dropout is studied. First, a Markov chain is utilized to describe the packet loss behaviour. Then, the global system is modelled as a Markovian jump linear system (MJLS). Next, a proportional–integral observer is used to estimate the actuator’s fault. Sufficient conditions are written in the form of linear matrix inequality (LMI) after using the stochastic Lyapunov–Krasovskii functional. By applying matrix theory skills, we introduce some slack variables in the LMI for more relaxation. The obtained LMI has more advantages than others existing in the literature. Finally, a simulation is provided to show the validity of the proposed approach and compare the obtained results with other presented works.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-021-00772-3