Demo Data from VLDB 2026 / reviewers in the wild / expert
Stefano Miani
dblp:76/3677
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
inventory management |
0.0 | 1 | 2003 | Stabilization of multi-inventory systems with uncertain demand and setups · IEEE Trans. Robotics Autom. 2003 |
Methods — techniques the papers use, named apart from their topics
worst-case analysis · 0.0stabilizability analysis · 0.0quantized control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Stabilization of multi-inventory systems with uncertain demand and setupsabstractIn this paper, we consider different aspects of the problem of controlling a multi-inventory system in the presence of uncertain demand and setups. The demand is unknown but bounded in an assigned compact set. The control input is assumed to be constant in its operating regime and to incur setup whenever a variation of this regime is required. Both setup times and setup configurations are unknown. We provide necessary and sufficient stabilizability conditions which turn out to be the same in the case in which there are no setups. Stabilization can be achieved, provided that the planning horizon is large enough and a computable lower bound is given. We also face the problem of ultimately confining the state in an assigned constraint set and provide conditions on this set for the problem to be feasible. Furthermore, we consider the case in which the controls are quantized, as in the case of systems which work in a switching mode. Finally, we deal with the case in which multiple setups may happen during the planning horizon. Franco Blanchini, Stefano Miani, Raffaele Pesenti, Franca Rinaldi |
IEEE Trans. Robotics Autom. | 2 |