IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2004 · 175 citations · 28 references
EngineeringBioengineeringCellular NeuroscienceNeural CircuitryNeural EngineeringDelay ModelingNeural Circuit ModelingSpiking Neural NetworksTime Delay EffectsDelay EquationsDelay Stability AnalysisDelay-dependent Stability AnalysisDelay-dependent Stability CriteriaDelay-induced Stability AnalysisNeural Networks With DelaySaturationSaturation Region
We show that any N/spl times/M-dimensional delayed cellular neural network described using cloning templates can have no more than 3/sup N/spl times/M/ isolated equilibrium points and 2/sup N/spl times/M/ of these equilibrium points located in saturation regions are locally exponentially stable. In addition, we give the conditions for the equilibrium points to be locally exponentially stable when the equilibrium points locate the designated saturation region. These conditions improve and extend the existing stability results in the literature. The conditions are also very easy to be verified and can be checked by direct examination of the templates, regardless of the number of cells. Finally, the validity and performance of the results are illustrated by use of two numerical examples.
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