Title :
Control of fuzzy discrete event systems and its applications to clinical treatment planning
Author :
Lin, F. ; Ying, H. ; Luan, X. ; MacArthur, R.D. ; Cohn, J.A. ; Barth-Jones, D. ; Crane, L.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Abstract :
In this paper, we further develop a modeling and control approach to fuzzy discrete event systems that we initially proposed in Lin, F. and H. Ying, (2001), (2002). 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.
Keywords :
decision making; discrete event systems; fuzzy control; medical computing; optimal control; patient treatment; HIV/AIDS treatment planning; biomedical fields; clinical treatment planning; computerized treatment decision-making system; cost function; effectiveness function; fuzzy discrete event system control; optimal control problem; state dependent; treatment effectiveness measure; Biomedical measurements; Control systems; Cost function; Discrete event systems; Fuzzy control; Fuzzy systems; Human immunodeficiency virus; Medical treatment; Optimal control; State-space methods;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Conference_Location :
Nassau
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1428683