Stability analysis of a class of generalized neural networks with delays
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Summary
By introducing a new type of Lyapunov functionals and making use of matrix inequality technique, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the delayed Cohen–Grossberg neural networks are obtained.
- Type
- article
- Published
- 2005-04-04
- Cited by
- 8
- References
- 13
- OpenAlex
- https://openalex.org/W1978738522
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120687059
Keywords
Exponential stability, Equilibrium point, Uniqueness, Class (philosophy), Artificial neural network
References
- Delay-independent stability analysis of Cohen-Grossberg neural networks
- Exponential stability of Cohen-Grossberg neural networks
- Stability in asymmetric Hopfield nets with transmission delays
- On the Global Convergence of a Class of Functional Differential Equations with Applications in Neural Network Theory
- Global Attractivity in Delayed Hopfield Neural Network Models
- Results concerning the absolute stability of delayed neural networks
- Global Convergence Rate of Recurrently Connected Neural Networks
- How delays affect neural dynamics and learning
- (Corr. to) Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
- Input-to-state stability (ISS) analysis for dynamic neural networks
- Neural networks and physical systems with emergent collective computational abilities.
- Harmless delays in Cohen–Grossberg neural networks ☆
- New Conditions on Global Stability of Cohen-Grossberg Neural Networks
- Input-to-state stability (ISS) analysis for dynamic neural networks
Cited by
- An analysis of global exponential stability of bidirectional associative memory neural networks with constant time delays
- Harmless delays for global exponential stability of Cohen-Grossberg neural networks
- LMI-based criteria for globally robust stability of delayed Cohen–Grossberg neural networks
- Global robust stability criteria of stochastic Cohen–Grossberg neural networks with discrete and distributed time-varying delays
- Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument
- An Analysis of Global Exponential Stability of Genetic Regulatory Networks with Time-Varying Delay
- Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays
- New Results for Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks
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