The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.
Unknown Inputs, Robust State Observation for Linear Parameter Varying Systems / Conte, Giuseppe; Perdon, ANNA MARIA; Bonci, Andrea. - (2007), pp. 2471-2476.
Unknown Inputs, Robust State Observation for Linear Parameter Varying Systems
CONTE, GIUSEPPE;PERDON, ANNA MARIA;BONCI, Andrea
2007-01-01
Abstract
The problem of estimating the largest possible component of the state of a parameter dependent linear system in presence of unknown inputs is considered. Using a geometric approach and suitable defined invariant subspaces, that capture the concept of robustness with respect to parameter variation, a procedure for detecting the largest component of the state that may possibly be estimated together with a construction of the observer system and a technique for analyzing its asymptotic behavior is provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.