New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components

Authors:
Hanyong Shao; Qing-Long Han
Affiliations:
Sch. of Electr. & Inf. Autom., Qufu Normal Univ., Rizhao, China;-
Venue:
IEEE Transactions on Neural Networks
Year:
2011

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Abstract

This brief is concerned with delay-dependent stability for neural networks with two additive time-varying delay components. By constructing a new Lyapunov functional and using a convex polyhedron method to estimate the derivative of the Lyapunov functional, some new delay-dependent stability criteria are derived. These stability criteria are less conservative than some existing ones. An example is given to demonstrate the less conservatism of the stability results.