English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/167190
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Fault-tolerant periodic economic model predictive control of differential-algebraic-equation systems

AuthorsWang, Ye ; Puig, Vicenç ; Cembrano, Gabriela
Issue Date2016
PublisherInstitute of Electrical and Electronics Engineers
Citation3rd Conference on Control and Fault Tolerant Systems (SysTol): 704-710 (2016)
AbstractThis paper addresses a fault-tolerant periodic economic model predictive control (MPC) strategy for differential-algebraic-equation (DAE) systems. Fault tolerance evaluation of the proposed economic MPC strategy uses set computations and a performance degradation analysis. By means of the set computations, the feasible solution set (including system states and control inputs) can be determined as well as the admissible performance set can be obtained when system reconfiguration or fault accommodation strategies are used. The proposed control strategy allows to carry out an analysis of performance degradation by using the feasible and admissible performance set. As a result, if the performance degradation is accepted, the economic MPC controller can be applied using system reconfiguration or fault accommodation. Finally, the proposed fault-tolerant MPC strategy is verified through an illustrative example.
DescriptionTrabajo presentado a la 3rd Conference on Control and Fault Tolerant Systems, celebrada en Barcelona (España) del 7 al 9 de septiembre de 2016.
Publisher version (URL)https://doi.org/10.1109/SYSTOL.2016.7739831
Identifiersdoi: 10.1109/SYSTOL.2016.7739831
isbn: 978-1-5090-0657-1
Appears in Collections:(IRII) Libros y partes de libros
Files in This Item:
File Description SizeFormat 
faultolerant.pdf500,6 kBUnknownView/Open
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.