• S. Rajavel
• K. Murugan
• B. Geetha

In this paper, the problem of delay-interval-dependent stability criteria for uncertain neural networks with successive time-varying delay components are studied. We construct a Lyapunov-Krasovskii function with triple and four integral terms and then utilizing Jenson’s inequality technique. Moreover, the proposed sufficient conditions can be simplified into the form of linear matrix inequalities (LMIs) using Matlab LMI toolbox. Finally, a numerical example is presented to illustrate the effectiveness of the proposed criteria.

Delay-interval-dependent stability; Neural networks; Successive time-varying delay components; Linear matrix inequality; Lyapunov-krasovskii function.

"Robust delay-interval-dependent stability criteria for neural networks with successive time-varying delay components", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.37-46, August-2018, Available :http://www.jetir.org/papers/JETIR1808303.pdf

"Robust delay-interval-dependent stability criteria for neural networks with successive time-varying delay components", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp37-46, August-2018, Available at : http://www.jetir.org/papers/JETIR1808303.pdf