Neural networks letter: Stochastic stability of discrete-time Markovian jump delay neural networks with impulses and incomplete information on transition probability

Authors:
Yu Zhang
Affiliations:
-
Venue:
Neural Networks
Year:
2013

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Abstract

The purpose of this letter is to investigate the stochastic stability for a class of discrete-time Markovian jump delay neural networks with impulses and incomplete information on transition probability. By using Lyapunov functionals, some new results are provided. The obtained results show that impulses can stochastically stabilize an unstable discrete-time Markovian jump delay neural network. The obtained results also show that the stability property of the impulse-free neural network can be retained even under certain destabilizing impulses. Two examples together with their simulations are also presented to show the effectiveness and the advantage of the obtained results.