Title :
On the smallest robustly control invariant sets in finite alphabet logistics networks
Author :
Tarraf, Danielle C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
We consider logistics networks where the disturbances and control actions take discrete values, and we propose upper and lower bounds on the smallest robustly control invariant hyperbox sets.
Keywords :
logistics; robust control; discrete values; finite alphabet logistics networks; lower bounds; robustly control invariant hyperbox sets; upper bounds; Control systems; Logistics; Raw materials; Robust control; Robustness; Upper bound;
Conference_Titel :
Network Games, Control and Optimization (NetGCooP), 2012 6th International Conference on
Conference_Location :
Avignon
Print_ISBN :
978-1-4673-6026-5
