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Robust fault detection based on adaptive threshold generation using interval LPV observers

Autor
Montes de Oca, S.; Puig, V.; Blesa, J.
Tipus d'activitat
Article en revista
Revista
International journal of adaptive control and signal processing
Data de publicació
2012
Volum
26
Número
3
Pàgina inicial
258
Pàgina final
283
DOI
https://doi.org/10.1002/acs.1263 Obrir en finestra nova
Projecte finançador
Análisis y diseño de estrategias de control óptimo distribuido aplicadas a la gestión de sistemas de agua de gran escala (WATMAN)
Repositori
http://hdl.handle.net/2117/15909 Obrir en finestra nova
URL
http://dx.doi.org/10.1002/acs.1263 Obrir en finestra nova
Resum
In this paper, robust fault detection based on adaptive threshold generation of a non-linear system described by means of a linear parameter-varying (LPV) model is addressed. Adaptive threshold is generated using an interval LPV observer that generates a band of predicted outputs taking into account the parameter uncertainties bounded using intervals. An algorithm that propagates the uncertainty based on zonotopes is proposed. The design procedure of this interval LPV observer is implemented via...
Citació
Montes de Oca, S.; Puig, V.; Blesa, J. Robust fault detection based on adaptive threshold generation using interval LPV observers. "International journal of adaptive control and signal processing", 2012, vol. 26, núm. 3, p. 258-283.
Paraules clau
control nonlinearities control system analysis control theory PARAULES AUTOR: fault detection, interval LPV observer, linear matrix inequalities, linear parameter-varying, minimum detectable fault, zonotopes
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants