ABSTRACT

This paper addresses the problem of state and faults estimation for Takagi-Sugeno nonlinear systems. Based on this structure for modeling, a proportional integralmultiple observer with unknown inputs is proposed in order to estimate simultaneously the state variables and actuator and sensor faults. Estimation error dynamics stability is studied with the Lyapunov theory and the observer gains are obtained by solving linear matrix inequalities (LMI). Academic examples are provided in order to illustrate the proposed method.