Work

A Finite-Time Adaptive Synchronization Control Algorithm for Stochastic Dynamical Complex Network with Periodical Coupling Structure

Year: 2026

Type: article

Abstract: An adaptive finite-time synchronization control algorithm of dynamical complex network with unknown periodical coupling structure and stochastic disturbances is investigated in detail from the perspective of improving convergence speed and lowering control costs in this paper. Basing on finite- time stochastic stability theory, differential inequal- ity technique and the adaptive feedback strategies, rigorous theoretical analysis establishes sufficient conditions to guarantee finite-time synchronization of the network. Further more, the unknown periodical coupling topological elements are estimated by proper adaptive update law simultaneously. Finally, numerical simulations are conducted to demonstrate the validity and superiority of the proposed control methodology.

Source: Mathematics

DOI: 10.3390/math14122164

Author: Lihong Yan

Institution: Xianyang Normal University

Language: English

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Xianyang Normal University