Stability of Time-Delay Systems
Stability of Time-Delay Systems
Global Robust Exponential Stability of Interval General BAM Neural Network with Delays
Neural Processing Letters
Advanced fuzzy cellular neural network: Application to CT liver images
Artificial Intelligence in Medicine
Global exponential stability in DCNNs with distributed delays and unbounded activations
Journal of Computational and Applied Mathematics
Technical communique: Stability analysis of neutral systems with distributed delays
Automatica (Journal of IFAC)
Robust Stability Criterion for Delayed Neural Networks with Discontinuous Activation Functions
Neural Processing Letters
Neural Processing Letters
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
An augmented LKF approach involving derivative information of both state and delay
IEEE Transactions on Neural Networks
An analysis of global asymptotic stability of delayed cellular neural networks
IEEE Transactions on Neural Networks
A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay
IEEE Transactions on Neural Networks
Associative Learning of Integrate-and-Fire Neurons with Memristor-Based Synapses
Neural Processing Letters
Neural Processing Letters
Delay-Dependent Exponential Stability of Cellular Neural Networks with Multi-Proportional Delays
Neural Processing Letters
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In this paper, the Takagi---Sugeno (T---S) fuzzy model representation is extended to the stability analysis for cellular neural networks (CNNs) with mixed time-varying delays and time delay in the leakage term via the delay decomposition approach. First, a sufficient condition is given to ensure the existence and uniqueness of equilibrium point by using topological degree theory. Then, we present global asymptotic stability of equilibrium point by using linear matrix inequality (LMI) approach and by constructing an augmented Lyapunov---Krasovskii functional (ALKF) together with convex combination method. The proposed results can be easily solved by some standard numerical packages. Finally, four numerical examples are given to demonstrate the effectiveness and conservativeness of our proposed results.