l2-l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol.
作者： Yuxuan Shen , Zidong Wang , Bo Shen , Fuad E. Alsaadi , Abdullah M. Dobaie
DOI: 10.1016/J.NEUNET.2020.01.013
关键词:
摘要: In this paper, the l2-l∞ state estimation problem is addressed for a class of delayed artificial neural networks under high-rate communication channels with Round-Robin (RR) protocol. To estimate networks, numerous sensors are deployed to measure networks. The communicate remote estimator through shared channel. channel, RR protocol utilized schedule transmission sequence sensors. aim paper design an such that, channel and protocol, exponential stability error dynamics as well performance constraint ensured. First, sufficient conditions given which guarantee existence desired estimator. Then, gains obtained by solving two sets matrix inequalities. Finally, numerical examples provided verify effectiveness developed scheme.
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