Gain-Scheduled Finite-Time Synchronization for Reaction–Diffusion Memristive Neural Networks Subject to Inconsistent Markov Chains
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DOI: 10.1109/tnnls.2020.3009081
Abstract: An innovative class of drive-response systems that are composed of Markovian reaction–diffusion memristive neural networks, where the drive and response systems follow inconsistent Markov chains, is proposed in this article. For this kind of nonlinear… read more here.
Keywords: finite time; reaction diffusion; neural networks; memristive neural ... See more keywords