Set-membership parity space hybrid system diagnosis

In this paper, diagnosis for hybrid systems using a parity space approach that considers model uncertainty is proposed. The hybrid diagnoser is composed of modules which carry out the mode recognition and diagnosis tasks interacting each other, since the diagnosis module adapts accordingly to the current hybrid system mode. Moreover, the methodology takes into account the unknown but bounded uncertainty in parameters and additive errors (including noise and discretisation errors) using a passive robust strategy based on the set-membership approach. An adaptive threshold that bounds the effect of model uncertainty in residuals is generated for residual evaluation using zonotopes, and the parity space approach is used to design a set of residuals for each mode. The proposed fault diagnosis approach for hybrid systems is illustrated on a piece of the Barcelona sewer network.This work has been funded by the Spanish Ministry of Science and Technology through the CICYT project WATMAN [grant number DPI2009-13744]; the Spanish Ministry of Economy and Competitiveness through the CICYT project SHERECS [grant number DPI2011-26243]; EFFINET [grant number FP7-ICT-2012-318556] of the European Commission.Peer Reviewe