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Exponential stability for the neutral-type singular neural network with time-varying delays

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This paper deals with the problem of global exponential stability for neutral type singular networks with time-varying delays. Delay-dependent criterion is proposed to guarantee the exponential stability of neutral type… Click to show full abstract

This paper deals with the problem of global exponential stability for neutral type singular networks with time-varying delays. Delay-dependent criterion is proposed to guarantee the exponential stability of neutral type singular networks via linear matrix inequality (LMI) approach. Improved global exponential stability condition is derived by employing a new Lyapunov–Krasovskii functional and a rarely integral inequality. The developed result is less conservative than previous published ones in the literature, which is illustrated by representative numerical examples.

Keywords: stability; stability neutral; type singular; exponential stability; neutral type

Journal Title: International Journal of Machine Learning and Cybernetics
Year Published: 2019

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