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New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A delay-partitioning approach to the stability analysis of discrete-time systems
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A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks
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Delay-Dependent Approaches to Globally Exponential Stability for Recurrent Neural Networks
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Improved Delay-Dependent Globally Asymptotic Stability Criteria for Neural Networks With a Constant Delay
inferredcites →https://doi.org/10.1109/tnn.2005.860859openalex-snapshot
On Stability of Recurrent Neural Networks—An Approach From Volterra Integro-Differential Equations
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New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay
inferredcites →https://doi.org/10.1109/tnn.2007.903147openalex-snapshot
Stability Analysis for Neural Networks With Time-Varying Interval Delay
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Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays
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Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays
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New Lyapunov–Krasovskii Functionals for Global Asymptotic Stability of Delayed Neural Networks
inferredcites →https://doi.org/10.1201/9781482275780openalex-snapshot
Qualitative Analysis and Synthesis of Recurrent Neural Networks
What points at this work
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New Delay-Dependent Stability Criteria For Neural Networks With Two Additive Time-Varying Delay Components
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