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

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2 Author(s)
Hanyong Shao ; School of Electrical and Information Automation, Qufu Normal University, Rizhao, Shandong, China ; Qing-Long Han

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.

Published in:

IEEE Transactions on Neural Networks  (Volume:22 ,  Issue: 5 )