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.

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

CORRADINI, Maria Letizia;CRISTOFARO, ANDREA;GIAMBO', Roberto;
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11581/203638
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