4.6 Article

Exponential synchronization of inertial neural networks with mixed delays via quantized pinning control

Journal

NEUROCOMPUTING
Volume 310, Issue -, Pages 165-171

Publisher

ELSEVIER
DOI: 10.1016/j.neucom.2018.05.030

Keywords

Infinite-time distributed delay; Inertial neural network; Quantized pinning control; Synchronization

Funding

  1. National Natural Science Foundation of China (NSFC) [61673078]
  2. Scientific & Technological Research Foundation of Chongqing Municipal Education Commission [KJ1710253]
  3. Chongqing Municipal Key Laboratory of Institutions of Higher Education [[2017] 3]
  4. Program of Chongqing Development and Reform Commission [2017[1007]]
  5. Chongqing Normal University [YKC17017, YKC17018, YKC17016]
  6. [CYS17181]

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In this paper, exponential synchronization of coupled inertial neural networks (CINNs) with bounded time-varying discrete delay and infinite-time distributed delay (mixed delays) is considered by designing quantized pinning controllers. By designing novel Lyapunov-Krasovskii functionals and using new weighted integral inequalities, delay-dependent criteria formulated by linear matrix inequality (LMI) are obtained. Different from existing ones, the designed Lyapunov-Krasovskii functionals include negative terms, which lead to less conservative results. Numerical simulations verify the effectiveness of the theoretical results. (C) 2018 Elsevier B.V. All rights reserved.

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