Control of a logistic node via Neuro-Dynamic Programming

被引：1
|
作者：
Boccadoro, Mauro [1 ]
Martinelli, Francesco [2 ]
机构：
[1] Univ Perugia, DIEI, I-06100 Perugia, Italy
[2] Univ Rome, DISP, Rome, Italy
来源：
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年
关键词：
TRANSPORTATION; FLEET;
D O I：
10.1109/CDC.2010.5717180
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we consider the dynamic model of a logistic node of a transportation network. A necessary and sufficient condition for the existence of a stable feedback policy is given. Optimal dispatching rules can be derived in the case of small instances either by solving an integer programming problem or by considering a dynamic programming approach. Both methods present a combinatorial complexity which makes them not viable in realistic scenarios. For this reason, a neuro-dynamic programming (NDP) approach is introduced and used to refine a heuristic solution of the problem. The solution computed through the NDP approach aligns with the decisions given by a sub-optimal control policy inspired by the literature available for manufacturing systems.
引用
收藏
页码：4896 / 4901
页数：6
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