This paper addresses a novel Lyapunov-based diagnosis signal design for the Robust Fault Detection of a class of Sampled Data systems whose output vector has to follow an assigned reference. The only signal available for measurements is the output variable. A simulation study on a vehicle suspension system is also reported.
Titolo: | A Lyapunov-based diagnosis signal for fault detection robust tracking problem of a class of sampled-data systems. |
Autori: | |
Data di pubblicazione: | 2011 |
Abstract: | This paper addresses a novel Lyapunov-based diagnosis signal design for the Robust Fault Detection of a class of Sampled Data systems whose output vector has to follow an assigned reference. The only signal available for measurements is the output variable. A simulation study on a vehicle suspension system is also reported. |
Handle: | http://hdl.handle.net/11581/218483 |
ISBN: | 9781612847993 |
Appare nelle tipologie: | Contributo in atto di convegno su volume |
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