Finite-time boundedness of uncertain time-delayed neural network with Markovian jumping parameters

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Abstract

The stochastic finite-time boundedness (FTB) problem is considered for a class of Markovian jumping neural networks (MJNNs) with time delay and uncertainties. By selecting the appropriate stochastic Lyapunov-Krasovskii functional, sufficient conditions of stochastic FTB of MJNNs are presented and proved. The FTB criteria are formulated in the form of linear matrix inequalities. Simulation results illustrate the effectiveness of the developed approaches. © 2012 Elsevier B.V.

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He, S., & Liu, F. (2013). Finite-time boundedness of uncertain time-delayed neural network with Markovian jumping parameters. Neurocomputing, 103, 87–92. https://doi.org/10.1016/j.neucom.2012.09.005

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