Control of fuzzy discrete event systems and its applications to clinical treatment planning

被引：21

作者：

Lin, F ^{[1
]}

Ying, H ^{[1
]}

Luan, X ^{[1
]}

MacArthur, RD ^{[1
]}

Cohn, JA ^{[1
]}

Barth-Jones, D ^{[1
]}

Crane, LR ^{[1
]}

机构：

[1] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA

来源：

2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 | 2004年

关键词：

discrete event systems; optimal control; fuzzy logic; decision-making; treatment planning; AIDS; HIV;

D O I：

10.1109/CDC.2004.1428683

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 further develop a modeling and control approach to fuzzy discrete event systems that we initially proposed in [LY01, LY02]. We first investigate an optimal control problem in fuzzy discrete event systems. The problem is abstracted from real applications in biomedical fields. The control objective is to maximize a treatment effectiveness measure while keeping some cost below a given level. This problem is difficult because both the effectiveness function and the cost function are state dependent and hence are not monotonic. Furthermore, the state space of a fuzzy discrete event system is infinite in general. We develop an online approach that can solve this problem. We then apply this approach to HIV/AIDS treatment planning, because it is one of the most difficult treatments in medicine. We also develop a novel computerized treatment decision-making system based on the optimal control approach. The preliminary statistic evaluation of our system shows a strong agreement between the physicians and our system in terms of which treatment regimens to be used for patients of various conditions.

引用

页码：519 / 524

页数：6