Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks With Mixed Delays

In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.