Fault diagnosis in a class of differential-algebraic systems
Proceedings of the American Control Conference
An Iterative Learning Observer (ILO) is proposed for fault diagnosis in a class of differential-algebraic nonlinear systems described by so-called semi-explicit form with index 1. The main feature of this ILO-based fault diagnosis strategy is that the ILO can estimate both system states and algebraic variable. This is important since both fault detection and estimation can be achieved. As a result the ILO can still track the post-fault system. Moreover, the ILO input can be used to isolate faults. The simulation study presented shows the effectiveness of this ILO-based fault detection and estimation strategy for differential-algebraic systems.
Chen, Wen; Saif, Mehrdad; and Shafai, Bahram. (2004). Fault diagnosis in a class of differential-algebraic systems. Proceedings of the American Control Conference, 5, 4398-4402.