Stochastic Fixed-Time Tracking Control for the Chaotic Multi-Agent-Based Supply Chain Networks with Nonlinear Communication

The multi-agent-based supply chain network is a dynamic system consisting of multiple subchains connected by information flows, material flows and capital flow, etc. consensus multi-agent systems often applied to the cooperation between inventory management in networks. Considering ubiquitous external disturbances, this paper mainly considers fixed-time stochastic three-echelon system. A nonlinear feedback control protocol constructed for ensuring considered network. Using stability theory differential equations, sufficient conditions upper bound estimation settling time are obtained. Finally, validity correctness theoretical analysis revealed numerical simulation.