Interval observer versus set-membership approaches for fault detection in uncertain systems using zonotopes
This paper presents both analysis and comparison of the interval observer–based and set-membership approaches for the state estimation and fault detection (FD) in uncertain linear systems. The considered approaches assume that both state disturbance and measurement noise are modeled in a determinist...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/134283 |
| Acceso en línea: | https://hdl.handle.net/2117/134283 https://dx.doi.org/10.1002/rnc.4523 |
| Access Level: | acceso abierto |
| Palabra clave: | Uncertainty, Interval observer, Set membership, State estimation, Fault detection, Minimum detectable fault Fault tolerance (Engineering) Tolerància als errors (Enginyeria) Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This paper presents both analysis and comparison of the interval observer–based and set-membership approaches for the state estimation and fault detection (FD) in uncertain linear systems. The considered approaches assume that both state disturbance and measurement noise are modeled in a deterministic context following the unknown but bounded approach. The propagation of uncertainty in the state estimation is bounded through a zonotopic set representation. Both approaches have been mathematically related and compared when used for state estimation and FD. A case study based on a two-tanks system is employed for showing the relationship between both approaches while comparing their performance |
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