Minimax production planning in failure-prone manufacturing systems
Journal of Optimization Theory and Applications
Applications of dynamic programming to the control of water resource systems
Automatica (Journal of IFAC)
On the minimax reachability of target sets and target tubes
Automatica (Journal of IFAC)
Robust control strategies for multi-inventory systems with average flow constraints
Automatica (Journal of IFAC)
Simulation-based optimization of process control policies for inventory management in supply chains
Automatica (Journal of IFAC)
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Hi-index | 22.15 |
In this paper we consider the problem of controlling a multi-inventory system in the presence of uncertain demand. The demand is unknown but bounded in an assigned compact set. The control input is assumed to be also constrained in a compact set. We consider an integral cost function of the buffer levels and we face the problem of minimizing the worst-case cost. We show that the optimal cost of a suitable auxiliary problem with no uncertainties is always an upper bound for the original problem. In the special case of minimum-time control, this upper bound is tight, namely its optimal cost is equal to the worst-case cost for the original system. Furthermore, the result is constructive, since the optimal control law can be explicitly computed.