Stochastic fixed-time tracking control for the chaotic multi-agent-based supply chain networks with nonlinear communication

Shi, Lili, Guo, Wanli, Wang, Lu, Bekiros, Stelios, Alsubaie, Hajid, Alotaibi, Ahmed and Jahanshahi, Hadi (2023) Stochastic fixed-time tracking control for the chaotic multi-agent-based supply chain networks with nonlinear communication. Electronics (Switzerland), 12 (1). ISSN 2079-9292

Text (Stochastic Fixed-Time Tracking Control for the Chaotic Multi-Agent-Based Supply Chain Networks with Nonlinear Communication) - Published Version Available under License Creative Commons Attribution. Download (1MB)

Abstract

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

Item Type:	Article
Official URL:	https://www.mdpi.com/journal/electronics
Additional Information:	© 2022 The Author(s).
Divisions:	LSE Health
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Date Deposited:	23 Jan 2023 16:18
Last Modified:	25 Apr 2024 18:15
URI:	http://eprints.lse.ac.uk/id/eprint/117982

Actions (login required)

View Item