Synchronizing data flows in smart multiagent control systems for the iron and steel industry
S. V. Endiyarov, S. S. Golovyrin · Steel in Translation · 2013
The effectiveness of diagnostic and control models and algorithms will depend on the quality of the initial data, which, in turn, is determined by the delay in generating the data and the influence of perturbations. The data must also be synchronized. A method of data synchronization is considered for smart control, diagnostic, and optimization systems, in the case of iron-ore sintering.