Neural Computing and Applications
Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Unbounded Distributed Delays
Neural Processing Letters
Equilibrium Analysis for Improved Signal Range Model of Delayed Cellular Neural Networks
Neural Processing Letters
Expert Systems with Applications: An International Journal
Leakage Delays in T---S Fuzzy Cellular Neural Networks
Neural Processing Letters
On the global dissipativity of a class of cellular neural networks with multipantograph delays
Advances in Artificial Neural Systems
Mathematical and Computer Modelling: An International Journal
Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays
IEEE Transactions on Neural Networks
Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks
IEEE Transactions on Neural Networks
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Global exponential stability of a class of cellular neural networks with multi-proportional delays is investigated. New delay-dependent sufficient conditions ensuring global exponential stability for the system presented here are related to the size of the proportional delay factor, by employing matrix theory and Lyapunov functional, and without assuming the differentiability, boundedness and monotonicity of the activation functions. Two examples and their simulation results are given to illustrate the effectiveness of the obtained results.