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The problem of asynchronous state estimation for Markov jump neural networks taking into account jumping fading channels is investigated in this article. The phenomenon of channel fadings which occurs between the system and the state estimator is considered and a modified discrete-time Rice fading model with the mode-dependent channel coefficients is adopted. Due to the fact that the modes of system...
This paper is concerned with the asynchronous H∞ filtering problem for discrete-time Markov jump neural networks. The asynchronous phenomenon is considered and two different Markov chains are used to govern the jump mode of the filter and that of the neural networks respectively, which means that their modes need not be corresponding to each other. A novel filtering design method is proposed. By introducing...
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