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 research introduces exponential quadratic stochastic consensus (EQSC), a novel approach to achieving consensus in multi-agent systems (MAS) under undirected graph topology. EQSC combines symmetric and asymmetric nonlinear interactions, leveraging quadratic random factors and matrix theories. The proposed method controls nonlinear redundancy within MAS, aiming for convergence through simplified calculations compared to linear and nonlinear consensus models. Our findings demonstrate that EQSC achieves consensus more rapidly than other models and is effective in communication scenarios where alternative models may fail. Theoretical analysis and simulations validate the effectiveness of EQSC in fostering consensus within MAS.

Investigating Nonlinear Consensus Interaction in Multi-Agent Systems: Exploring Symmetry and Asymmetry