Finite-Time Passivity of Stochastic Markov Jump Neural Networks with Random Distributed Delays and Sensor Nonlinearities.

This paper investigates the problem of mean-square finite-time passivity of discrete-time stochastic Markov jump neural networks with distributed delays and sensor nonlinearities. The distributed delays and sensor nonlinearities are randomly varying and described by mode-dependent random sequences with known statistical information. The mean-square finite-time boundedness and mean-square finite-time passivity results are obtained based on Lyapunov-like functional method. And the mean-square finite-time passivity is also considered for neural networks with random infinite-distributed delays. Finally, a numerical example verifies the effectiveness of the method. [ABSTRACT FROM AUTHOR]