Model-based fault diagnosis for discrete-time nonlinear systems with use of recalculation of observable dynamics

A new approach for fault detection and isolation in discrete time nonlinear systems is presented. The diagnostic approach proposed has the following peculiarities stipulated by using recalculation of observable signals of the dynamic system (DS): a) the problem of system parameter estimation is replaced by a set of local problems of unit parameter estimation; b) the whole diagnostic problem for DS is composed of a finite set of simple "basic" subprocedures, and the complexity of the diagnostic problem for any DS from the class of interest depends only on the number and sequence of such subprocedures.<
>