Abstract

This paper investigates the finite-time boundedness (FTB) problems for a class of uncertain switched neural networks (NNs) consisting of both stable and unstable time-delay subsystems. A parameter-dependent running time description (PDRTD) approach is invoked to obtain the proposed FTB criteria. The switched NNs with only unstable subsystems are firstly derived under the mode-dependent average dwell time (MDADT) approach, which is more applicable than the average dwell time (ADT). Then the case is extended to the switched NNs with both stable and unstable subsystems. A numerical example is given to show the validity and potential of the developed techniques.

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