Abstract
The production and supply chain system is a complex nonlinear network comprising suppliers, manufacturers, distributors, retailers, and other entities. The collaborative evolution process for such a system is vitally important, especially when the system undergoes design changes. In this paper, the data-driven inventory consensus problem for production and supply chain systems is studied while considering design changes. Firstly, the production and supply chain system is modeled as a multi-agent one and the collaborative process of the production and supply chain is formulated as the system topology structure switching. Secondly, a digraph data-driven consensus control protocol is proposed to achieve inventory level consensus tracking with respect to a predefined reference trajectory in production and supply chain systems. Thirdly, when a design change occurs, the saturation function is introduced for the protocol design, which helps address the productivity limitation problem. Lastly, with the help of the contracting mapping principle, the convergence analysis is carried out, demonstrating the effectiveness of the proposed data-driven consensus approach through a numerical simulation example.