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Exponential stability of delayed fuzzy cellular neural networks with diffusion. (English) Zbl 1138.35414
Summary: The exponential stability of delayed fuzzy cellular neural networks (FCNN) with diffusion is investigated. Exponential stability, significant for applications of neural networks, is obtained under conditions that are easily verified by a new approach. Earlier results on the exponential stability of FCNN with time-dependent delay, which is a special case of the model studied in this paper, are improved without using the time-varying term condition d$\tau (t)/$d$t < \mu $.

MSC:
35R10Partial functional-differential equations
35B35Stability of solutions of PDE
68U10Image processing (computing aspects)
94A08Image processing (compression, reconstruction, etc.)
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References:
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