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

页码：4896 / 4901

页数：6

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