Robust exponential stability analysis for delayed neural networks with time-varying delay
2014
This paper considers the problems of determining the robust exponential stability and estimating the exponential convergence rate for delayed neural networks with parametric uncertainties and time delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. Theoretic analysis shows that our result includes a previous result derived in the literature. As illustrations, the results are applied to several concrete models studied in the literature, and a comparison of results is given.
Keywords:
- Exponential integrator
- Rate of convergence
- Mathematical analysis
- Functional analysis
- Exponential function
- Mathematical optimization
- Ordinary differential equation
- Control theory
- Partial differential equation
- Mathematics
- Delay differential equation
- Exponential stability
- Artificial neural network
- Parametric statistics
- Upper and lower bounds
- Correction
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- Cite
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