Mean-Square Asymptotic Synchronization Control of Discrete-Time Neural Networks With Restricted Disturbances and Missing Data

The problem of controller design is investigated to achieve the mean-square asymptotic synchronization of discrete-time neural networks with time-varying delay and restricted disturbances. The unreliable communication links between the neural networks, which are modeled as stochastic dropouts satisf...

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Autors principals:	De-Hui Lin, Jun Wu, Jian-Ping Cai, Jian-Ning Li
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2018-01-01
Col·lecció:	IEEE Access
Matèries:	Asymptotic synchronization controller design discrete-time neural networks time-varying delay disturbance constraints uncertainty
Accés en línia:	https://ieeexplore.ieee.org/document/8125680/
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