A Fault Detection Scheme for Time-delay Systems using Minimum-order Functional Observers
H. M. Tran, H. Trinh
2015
Abstract
This paper presents a method for designing residual generators using minimum-order functional observers to detect actuator and component faults in time-delay systems. Existence conditions of the residual generators and functional observers are first derived, and then based on a parametric approach to the solution of a generalized Sylvester matrix equation, we develop systematic procedures for designing minimum-order functional observers to detect faults in the system. The advantages of having minimum-order observers are obvious from the economical and practical points of view as cost saving and simplicity can be achieved, particularly when dealing with high-order complex systems. Extensive numerical examples are given to illustrate the proposed fault detection scheme. In all the numerical examples, we design minimum-order residual generators and functional observers to detect faults in the system.
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Paper Citation
in Harvard Style
Tran H. and Trinh H. (2015). A Fault Detection Scheme for Time-delay Systems using Minimum-order Functional Observers . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 64-71. DOI: 10.5220/0005506300640071
in Bibtex Style
@conference{icinco15,
author={H. M. Tran and H. Trinh},
title={A Fault Detection Scheme for Time-delay Systems using Minimum-order Functional Observers},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={64-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005506300640071},
isbn={978-989-758-122-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - A Fault Detection Scheme for Time-delay Systems using Minimum-order Functional Observers
SN - 978-989-758-122-9
AU - Tran H.
AU - Trinh H.
PY - 2015
SP - 64
EP - 71
DO - 10.5220/0005506300640071