Global exponential stability results for delayed neural networks of neutral type

Abstract

In this paper, by utilizing the Lyapunov–Krasovkii functional and combining with the linear-matrix inequality (LMI) approach, we analyse the global exponential stability of delayed neural networks of neutral type. In addition, the examples are provided to illustrate the applicability of the result using LMI control toolbox in MATLAB.

Keywords:

• lyapunov–Krasovskii functional
• linear-matrix inequality
• delayed neural networks
• neutral-type
• generalized eigenvalue problem (GEVP)

AMS Subject Classification :

• 34K20
• 92B20

Acknowledgements

The work of the authors was supported by UGC-SAP(DRS), New Delhi, India under the sanctioned No. F510/6/DRS/2004 (SAP-1).