Mean Square Asymptotic Boundedness of Stochastic Complex Networks via Impulsive Control
Journal of Advances in Mathematics and Computer Science · pp. 10–21 · Published 17 Jul 2020
10.9734/jamcs/2020/v35i530278Abstract
In this paper, the mean square asymptotic boundedness of a class of stochastic complex systems with different dynamic nodes represented by Ito stochastic differential equations is studied. By using the Lyapunov function and Ito formula, the mean square asymptotic boundedness and mean square asymptotic stability conditions of stochastic complex systems with different dynamic nodes are obtained.
Cited by 0
No indexed citations yet.
Article metrics
Real usage data collected on this platform.
8
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.