Robust exponential stability criterion for uncertain neural networks with discontinuous activation functions and time-varying delays

Xiru Wu,Yaonan Wang,Lihong Huang,Yi Zuo

doi:10.1016/j.neucom.2010.01.002

Robust exponential stability criterion for uncertain neural networks with discontinuous activation functions and time-varying delays

Xiru Wu, Yaonan Wang + Show 2 more

https://doi.org/10.1016/j.neucom.2010.01.002

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Journal: Neurocomputing	Publication Date: Jan 11, 2010
Citations: 33

Affiliation: Hunan University, Changsha University of Science and Technology, University of Guelph

#Discontinuous Activation Functions #Global Robust Stability + Show 8 more

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Abstract

This paper considers the global robust exponential stability of time-varying delayed neural networks with discontinuous activation functions and norm-bounded uncertainties. Based on the Lyapunov–Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays in view of the linear matrix inequalities (LMIs). Therefore, our results are brand new compared to previous literatures. A numerical example is given to validate the effectiveness of our results.

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