Theory for a control architecture of fuzzy discrete event systems for decision making

F. Lin, H. Ying, X. Luan, R. D. MacArthur, J. A. Cohn, D. Barth-Jones, L. R. Crane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Since we introduced a method for control of fuzzy discrete event systems (FDES) in 2001, we have been focusing our attention on medical applications. In this paper, we propose a new control architecture of FDES that includes a fuzzy objective generator for generating optimal control objectives online and an online optimal control scheme using both disablement and enforcement. The optimal control problem is nontrivial because its performance index is state dependent and hence not monotonie. Furthermore, the state space of a FDES is infinite in general. We show that our online approach can solve this problem efficiently. The architecture is general and can be used for decision making in many complex systems. We demonstrate the usefulness of the architecture by applying it to HIV/AIDS treatment planning, because it poses some of the most difficult treatment challenges in medicine. We build a FDES decision model from expert's knowledge, treatment guidelines, clinic trials, patient database statistics, and other information available in the medical literature. The system generates optimal control objectives for real patients from our database and applies our online approach to decide a regimen for each patient.

Original languageEnglish (US)
Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Pages2769-2774
Number of pages6
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
Duration: Dec 12 2005Dec 15 2005

Publication series

NameProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Volume2005

Other

Other44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
CountrySpain
CitySeville
Period12/12/0512/15/05

Keywords

  • AIDS
  • Decision making
  • Discrete event systems
  • Fuzzy logic
  • HIV

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Theory for a control architecture of fuzzy discrete event systems for decision making'. Together they form a unique fingerprint.

  • Cite this

    Lin, F., Ying, H., Luan, X., MacArthur, R. D., Cohn, J. A., Barth-Jones, D., & Crane, L. R. (2005). Theory for a control architecture of fuzzy discrete event systems for decision making. In Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 (pp. 2769-2774). [1582582] (Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05; Vol. 2005). https://doi.org/10.1109/CDC.2005.1582582