Weera, “Improved Delay- Dependent Approach to Passivity Analysis for Uncertain Neural Net- works with Discrete Interval and Distributed Time-Varying Delays,”.

Motivated by above discussions in this paper, we studied the problem of mixed H ∞ and passivity analysis for neural networks with discrete and distributed time-varying delays

Rakkiyappan, Delay-dependent robust stability analysis for Markovian jumping stochastic Cohen–Grossberg neural networks with discrete interval and distributed time-varying

Rakkiyappan, “Delay-dependent robust stability analysis for Markovian jumping stochastic Cohen-Grossberg neural networks with discrete interval and distributed time- varying

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This paper studied the global robust stability analysis problem for uncertain neutral-type neural networks with discrete interval and distributed time-varying delays.. Novel

In this paper, the robust stability analysis of a problem is investigated for a class of discrete recurrent neural networks with distributed time varying delays for delay

New delay range dependent exponential stability criteria for certain neutral differential equations with interval discrete and distributed time varying delays Chatbupapan and

By constructing a Lyapunov-Krasovskii functional and employing a delay decomposition approach, a sufficient stability criterion is derived for the addressed system in terms of

Without assuming the smoothness, monotonicity, and boundedness of the activation functions, a set of su ffi cient conditions is given for checking the existence of periodic solution

In this paper, without the requirement of symmetric or irreducible conditions on outer coupling matrices, some global exponential synchronization criteria are estab- lished for an

Hindawi Publishing Corporation Advances in Difference Equations Volume 2011, Article ID 437842, 12 pages doi 10 1155/2011/437842 Research Article ? Stability of Impulsive Neural Networks

This paper using a new Lyapunov-Krasovskii functional as well as the free-weighting matrix approach and a linear matrix inequality analysis (LMI) technique

Passivity analysis of memristive neural networks with mixed time varying delays and different state dependent memductance functions Liu and Xu Advances in Difference Equations (2016)

Balasubramaniam, “New global exponential stability results for neutral type neural networks with distributed time delays,” Neurocomputing, vol.71, no.4-6, pp.. Zou, “Delay-dependent

In [4], Park obtained a new sufficient condition for global asymptotic stability of the equilibrium point for a class of neural networks with discrete and distributed delays by

Balasubramaniam, Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple discrete and distributed time-varying delays, Commun.. Huang, The stability

H?$H {\infty}$ State estimation for discrete time neural networks with time varying and distributed delays Kang et al Advances in Difference Equations (2015) 2015 263 DOI 10 1186/s13662