State estimation for delayed neural networks with reaction-diffusion terms: Hardy-Poincare inequality

This paper pay attention to the state estimation problem for a class of delayed neural networks with reaction-diffusion terms. By constructing a Lyapunov functional, together with the Hardy-Poincare inequality, a less conservative sufficient condition for the existence of state estimator is formulat...

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Bibliographic Details
Main Authors: Ruoxia Li, Jinde Cao
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Delays
Electronic mail
Hardy-Poincare inequality
neural networks
Neurons
reaction-diffusion terms
State estimation
Online Access:Request full text
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Summary:This paper pay attention to the state estimation problem for a class of delayed neural networks with reaction-diffusion terms. By constructing a Lyapunov functional, together with the Hardy-Poincare inequality, a less conservative sufficient condition for the existence of state estimator is formulated in terms of linear matrix inequality (LMI). Finally, a numerical example is given to demonstrate the effectiveness of the presented results.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8027990