Abstract
A method is proposed for stability analysis of neural networks with linear and nonlinear time delays. Given a neural network and the corresponding generalized algebraic Riccati equation with two unknown positive matrices, using the Razumikhin-type theory, the problem of insuring the globally asymptotic stability of the neural networks with linear and nonlinear time delays is obtained.
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He, H., Wang, Z., Liao, X. (2005). Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_30
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DOI: https://doi.org/10.1007/11427391_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25912-1
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