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Arik, Sabri

Global robust stability analysis of neural networks with discrete time delays. (English) Zbl 1122.93397

Chaos Solitons Fractals 26, No. 5, 1407-1414 (2005).
Summary: Global robust convergence properties of continuous-time neural networks with discrete delays are studied. By using a Lyapunov functional, we derive a delay independent stability condition for the existence uniqueness and global robust asymptotic stability of the equilibrium point. The condition is in terms of the network parameters only and can be easily verified. It is also shown that the obtained result improves and generalizes a previously published result.

Cited in 45 Documents

MSC:

93D09 Robust stability
34K20 Stability theory of functional-differential equations
37N35 Dynamical systems in control
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\textit{S. Arik}, Chaos Solitons Fractals 26, No. 5, 1407--1414 (2005; Zbl 1122.93397)
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References:

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