Fault diagnosis in dynamic systems: theory and application
Fault diagnosis in dynamic systems: theory and application
Automatica (Journal of IFAC)
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Stability of fuzzy control systems with bounded uncertain delays
IEEE Transactions on Fuzzy Systems
Sliding mode observers for fault detection and isolation
Automatica (Journal of IFAC)
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In this paper we propose a solution to the model-based fault diagnosis problem for the class of non-linear dynamic systems subjected to be described by a Takagi-Sugeno fuzzy model. A fuzzy observer is designed to estimate the system's state vector and to derive a diagnostic signal-residual. The residual is generated by the comparison of the measured and the estimated outputs. The proposed scheme has been satisfactorily tested in simulation and in a real-time benchmark given by a Two-Tank Hydraulic System. Work supported by the Consejo Nacional de Ciencia y Tecnología (Conacyt, México), by the Secretaría de Relaciones Exteriores (S.R.E.México), by the Consiglio Nazionale delle Ricerche (C.N.R., Italy), and by the Ministero degli Affari Esteri (M.A.E., Italy).