Robust fault detection filters for a class of MIMO uncertain sampled-data systems

Corradini, Maria Letizia; Cristofaro, Andrea; Giambo', Roberto; Pettinari, S.

This paper addresses the robust (in the disturbance de-coupling sense) design problem of fault detection filters for uncertain sampled data systems. The only available signal is the output variable. A novel reduced-order unknowninput observer is proposed such that both the estimation error and the state vector vanish asymptotically, robustly with respect to disturbances affecting the continuous-time system. A testfunction reveals the occurrence of actuator faults in the plant. An application to a three tank system is displayed.

Titolo:	Robust fault detection filters for a class of MIMO uncertain sampled-data systems
Autori:	CORRADINI, Maria Letizia CRISTOFARO, Andrea GIAMBO', Roberto Pettinari, S. mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2010
Abstract:	This paper addresses the robust (in the disturbance de-coupling sense) design problem of fault detection filters for uncertain sampled data systems. The only available signal is the output variable. A novel reduced-order unknowninput observer is proposed such that both the estimation error and the state vector vanish asymptotically, robustly with respect to disturbances affecting the continuous-time system. A testfunction reveals the occurrence of actuator faults in the plant. An application to a three tank system is displayed.
Handle:	http://hdl.handle.net/11581/203638
ISBN:	9781424481538
Appare nelle tipologie:	Contributo in atto di convegno su volume

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