English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper considers dynamical behaviors of a class of fuzzyimpulsive reaction-diffusion delayed cellular neural networks(FIRDDCNNs) with time-varying periodic self-inhibitions,interconnection weights, and inputs. By using delay differentialinequality, M-matrix theory, and analytic methods, some newsufficient conditions ensuring global exponential stability of theperiodic FIRDDCNN model with Neumann boundary conditions areestablished, and the exponential convergence rate index isestimated. The differentiability of the time-varying delays is notneeded. An example is presented to demonstrate the efficiency andeffectiveness of the obtained results

Exponential Stability and Periodicity of Fuzzy Delayed Reaction-Diffusion Cellular Neural Networks with Impulsive Effect