Geodesic
Model predictive control of dynamic systems with mixed uncertainty and its application to supply chain management
Dalʹnevostočnyj matematičeskij žurnal, Tome 22 (2022) no. 2, pp. 152-157 
E. V. Chausova. Model predictive control of dynamic systems with mixed uncertainty and its application to supply chain management. Dalʹnevostočnyj matematičeskij žurnal, Tome 22 (2022) no. 2, pp. 152-157. http://geodesic.mathdoc.fr/item/DVMG_2022_22_2_a2/
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     title = {Model predictive control of dynamic systems with mixed uncertainty and its application to supply chain management},
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     url = {http://geodesic.mathdoc.fr/item/DVMG_2022_22_2_a2/}
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Voir la notice de l'article provenant de la source Math-Net.Ru

The paper is devoted to a discrete-time linear system with constraints on states and control inputs under conditions of interval and stochastic uncertainty. We use the model predictive control approach and get the optimal control strategy that brings the system to a setpoint. The developed results are applied to the inventory control problem in a supply chain. A numerical example is studied.

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