Exploració per autor "Travé-Massuyès, Louise"
Ara es mostren els items 1-6 de 6
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An incremental hybrid system diagnoser automaton enhanced by discernibility properties
Vento Maldonado, Jorge I.; Travé-Massuyès, Louise; Puig Cayuela, Vicenç; Sarrate Estruch, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2014-12-18)
Article
Accés restringit per política de l'editorialThis paper proposes a method to track the system mode and diagnose a hybrid system without building an entire diagnoser off-line. The method is supported by a hybrid automaton (HA) model that represents the hybrid system ... -
BRIDGE: matching model-based diagnosis from FDI and DX perspectives
Travé-Massuyès, Louise; Escobet Canal, Teresa (Springer Nature, 2019-06-22)
Capítol de llibre
Accés obertAfter the introduction section of Chapter 7, section 7.2 first presents a brief overview of the approaches proposed by the FDI and DX model- based diagnosis communities. Although quite commonplace, this overview is neces- ... -
Hybrid Automaton Incremental Construction for Online Diagnosis
Vento Maldonado, Jorge; Travé-Massuyès, Louise; Sarrate Estruch, Ramon; Puig Cayuela, Vicenç (2013)
Text en actes de congrés
Accés obertThis paper proposes a method to track the system mode and diagnose a hybrid system without building an entire diagnoser off-line. The method is supported by a hybrid automaton model that represents the hybrid system ... -
Solving diagnosability of hybrid systems via abstraction and discrete event techniques
Grastien, Alban; Travé-Massuyès, Louise; Puig Cayuela, Vicenç (2017)
Text en actes de congrés
Accés obertThis paper addresses the problem of determining the diagnosability of hybrid systems by abstracting hybrid models to a discrete event ,etting. From the continuous model the abstraction only remembers two pieces of information: ... -
Solving Diagnosability of Hybrid Systems via Abstraction and Discrete Event Techniques
Grastien, Alban; Travé-Massuyès, Louise; Puig Cayuela, Vicenç (2017-07-01)
Article
Accés obertThis paper addresses the problem of determining the diagnosability of hybrid systems by abstracting hybrid models to a discrete event setting. From the continuous model the abstraction only remembers two pieces of information: ... -
State estimation and fault detection using box particle filtering with stochastic measurements
Blesa Izquierdo, Joaquim; Le Gall, Françoise; Jauberthie, Carine; Travé-Massuyès, Louise (2015)
Text en actes de congrés
Accés obertIn this paper, we propose a box particle filtering algorithm for state estimation in nonlinear systems whose model assumes two types of uncertainties: stochastic noise in the measurements and bounded errors affecting the ...