Robust exponential stability analysis of neural networks with multiple time delays
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Summary
Based on Lyapunov stability theory and linear matrix inequality technique, some new delay independent conditions are derived to guarantee the global robust exponential stability of the equilibrium point.
- Type
- article
- Published
- 2007-08-01
- Cited by
- 63
- References
- 27
- OpenAlex
- https://openalex.org/W2013869158
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7789930
Keywords
Artificial neural network, Bidirectional associative memory, Exponential stability, Equilibrium point, Computer science
References
- Qualitative Analysis and Synthesis of Recurrent Neural Networks
- Exponential stability and periodic oscillatory of bi-directional associative memory neural network involving delays
- Exponential stability of BAM neural networks with transmission delays
- A novel global robust stability criterion for neural networks with delay
- LMI-based criteria for robust stability of Cohen–Grossberg neural networks with delay
- Global robust asymptotical stability of multi-delayed interval neural networks: an LMI approach
- Global exponential stability of continuous-time interval neural networks.
- Global robust stability of delayed recurrent neural networks
- Exponential stability of delayed bi-directional associative memory networks
- Global robust stability of interval cellular neural networks with time-varying delays
- Global exponential stability in continuous-time and discrete-time delayed bidirectional neural networks
- Global exponential stability of Hopfield neural networks with continuously distributed delays
- Global robust stability analysis of neural networks with discrete time delays
- LMI-based approach for delay-dependent exponential stability analysis of BAM neural networks
- Global asymptotic and robust stability of recurrent neural networks with time delays
- Global robust stability analysis of neural networks with multiple time delays
- Robust stability for interval Hopfield neural networks with time delay
- Robust stability of nonlinear time-delay systems with applications to neural networks
- New conditions for global stability of neural networks with application to linear and quadratic programming problems
- Global robust stability of delayed neural networks
Cited by
- Adaptive Decentralized NN Control of Nonlinear Interconnected Time‐Delay Systems with Input Saturation
- Stability analysis of memristor-based complex-valued recurrent neural networks with time delays
- Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation
- New LMT-based delay-dependent criterion for global asymptotic stability of cellular neural networks
- New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay
- Improved delay-dependent stability criteria for neural networks with two additive time-varying delay components
- Novel exponential stability of reaction-diffusion cohen-grossberg neural networks
- Standard neural network model for robust stabilization of recurrent neural networks
- Dynamical stability analysis of multiple equilibrium points in time-varying delayed recurrent neural networks with discontinuous activation functions
- New Delay-Dependent Global Exponential Stability Criterion for Cellular-Type Neural Networks With Time-Varying Delays
- Novel delay-dependent exponential stability of a class of fuzzy cellular neural networks with time-V
- Further results for robust stability of cellular neural networks with linear fractional uncertainty
- Improved exponential stability criteria for neural networks with time-varying delays
- Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays
- Robustness analysis of global exponential stability of neural networks with Markovian switching in the presence of time-varying delays or noises
- Improved asymptotic stability criteria for neural networks with interval time-varying delay
- Novel global robust exponential stability criterion for uncertain BAM neural networks with time-varying delays
- New delay-dependent exponential stability criteria for neural networks with discrete and distributed time-varying delays
- A novel model of leaky integrator echo state network for time-series prediction
- Improved delay-dependent stability conditions for recurrent neural networks with multiple time-varying delays
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