Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/179290
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | A distributed set-membership approach based on zonotopes for interconnected systems |
Autor: | Wang, Ye CSIC ORCID; Alamo, Teodoro; Puig, Vicenç CSIC ORCID ; Cembrano, Gabriela CSIC ORCID | Fecha de publicación: | 2018 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE Conference on Decision and Control (CDC) (2018) | Resumen: | This paper proposes a distributed set-membership approach based on zonotopes for interconnected systems with coupled states and unknown-but-bounded uncertainties (both state disturbances and measurement noise). The objective of the distributed set-membership approach is to find a sequence of distributed zonotopes to bound uncertain states of each subsystem (called agent) instead of making use of a single zonotope to bound all the uncertain states. In the proposed approach, these distributed state bounding zonotopes are only corrected by their own measurement outputs. To predict the state at the next sampling time, each agent sends its own state-bounding zonotope to its neighbors. For achieving robust state estimation, we propose a novel optimization problem based on the P-radius minimization criterion. Finally, the effectiveness of the proposed approach is provided with a numerical example. | Descripción: | Trabajo presentado en la IEEE Conference on Decision and Control (CDC), celebrada en Miami Beach (FL, USA), del 17 al 19 de diciembre de 2018 | URI: | http://hdl.handle.net/10261/179290 | DOI: | 10.1109/CDC.2018.8619018 | ISBN: | 978-1-5386-1395-5 | E-ISSN: | 2576-2370 |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Distributed Set-membership_Wang.pdf | 337,53 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
206
checked on 18-abr-2024
Download(s)
125
checked on 18-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.