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This paper presents a fault detection and isolation (FDI) scheme for a class of Lipschitz
nonlinear systems with nonlinear and unstructured modeling uncertainty. This significantly …

This paper deals with the problem of designing a distributed fault detection and isolation
methodology for nonlinear uncertain large-scale discrete-time dynamical systems. As a …

The ability to maintain state awareness in the face of unexpected and unmodeled errors and
threats is a defining feature of a resilient control system. Therefore, in this paper, we study …

Large-scale processes have become common, and fault detection for such processes is
imperative. This work studies the data-driven distributed local fault detection problem for …

In this paper, a distributed sensor fault detection and isolation (FDI) method is developed for
a class of interconnected nonlinear uncertain systems. In the distributed FDI architecture, a …

In this paper, we present a distributed fault detection and isolation (FDI) strategy for a team
of networked robots that builds on a distributed controller-observer schema. Remarkably …

This paper presents an adaptive approximation-based design methodology and analytical
results for distributed detection and isolation of multiple sensor faults in a class of nonlinear …

This paper develops a filtering approach for distributed fault detection of a class of
interconnected continuous-time nonlinear systems with modeling uncertainties …

The problem of fault detection and isolation/identification (FDI) of nonlinear systems using
neural networks is considered in this paper. The proposed FDI approach employs recurrent …