Analysis on Passivity for Uncertain Neural Networks with Time-Varying Delays
2014 ◽
Vol 2014
◽
pp. 1-10
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Keyword(s):
The problem of passivity analysis for neural networks with time-varying delays and parameter uncertainties is considered. By the consideration of newly constructed Lyapunov-Krasovskii functionals, improved sufficient conditions to guarantee the passivity of the concerned networks are proposed with the framework of linear matrix inequalities (LMIs), which can be solved easily by various efficient convex optimization algorithms. The enhancement of the feasible region of the proposed criteria is shown via two numerical examples by the comparison of maximum allowable delay bounds.
2015 ◽
Vol 2015
◽
pp. 1-11
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2017 ◽
Vol 10
(02)
◽
pp. 1750027
◽
2015 ◽
Vol 742
◽
pp. 399-403
2007 ◽
Vol 17
(03)
◽
pp. 207-218
◽
2012 ◽
Vol 1
(2)
◽
pp. 1-14
◽
H∞Control for Nonlinear Systems with Time-Varying Delay Using Matrix-Based Quadratic Convex Approach
2015 ◽
Vol 2015
◽
pp. 1-12
◽
2015 ◽
Vol 93
(4)
◽
pp. 398-408
◽