4.7 Article

General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction-diffusion terms

Journal

INFORMATION SCIENCES
Volume 511, Issue -, Pages 36-57

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2019.09.045

Keywords

General decay lag anti-synchronization; Bounded distributed delays; Multi-weights; Coupled reaction-diffusion neural networks

Funding

  1. Natural Science Foundation of Tianjin City [18JCQNJC74300]
  2. National Natural Science Foundation of China [61773285]
  3. China Scholarship Council [201808120044]
  4. Advanced Forming Research Centre (AFRC)
  5. Lightweight Manufacturing Centre (LMC) under the Route to Impact Programme 2019-2020 - Innovate UK High Value Manufacturing Catapult [AFRC_CATP_1469_R2I-Academy]

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We propose a new anti-synchronization concept, called general decay lag anti-synchronization, by combining the definitions of decay synchronization and lag synchronization. Novel criteria for the decay lag anti-synchronization of multi-weighted delayed coupled reaction-diffusion neural networks (MWDCRDNNs) with and without bounded distributed delays are derived by constructing an appropriate nonlinear controller and using the Lyapunov functional method. Moreover, the robust decay lag anti-synchronization of MWDCRDNNs with and without bounded distributed delays is considered. Finally, two numerical simulations are performed to validate the obtained results. (C) 2019 Elsevier Inc. All rights reserved.

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