Ayati, Moosa and Salmasi, Farzad R. ORCID: https://orcid.org/0000-0002-8632-4238 (2015) Fault detection and approximation for a class of linear impulsive systems using sliding-mode observer. International Journal of Adaptive Control and Signal Processing, 29 (11). pp. 1427-1441. ISSN 0890-6327

Full text not available from this repository.

Abstract

The objective of this paper is to develop a method for fault detection and approximation of linear impulsive systems exposed to actuator faults. Utilizing proposed sliding mode observer, states of the impulsive system are estimated. It is proved that estimation error dynamical system is asymptotically stable between jumps. In addition, an upper bound of the state estimation errors at jump instants has been derived explicitly. State estimations are used to reconstruct the fault signal. Furthermore, an upper bound of the fault estimation errors is obtained. Proficiency of the proposed method is evaluated under different fault scenarios using numerical simulations.

Item Type:	Article
Identifier:	10.1002/acs.2553
Keywords:	fault detection and isolation; linear impulsive system; sliding mode observer; fault reconstruction
Subjects:	Construction and engineering
Depositing User:	Farzad Rajaei Salmasi
Date Deposited:	17 Jun 2016 09:18
Last Modified:	06 Feb 2024 15:45
URI:	https://repository.uwl.ac.uk/id/eprint/2566

Actions (login required)

View Item