Home


Project Overview

Our Publications


Personnel


Reference Shelf


Links


Data


Private


News

Diagnosis of Discrete Event Systems Using Active Acquisition of Information



Project Title: Diagnosis of Discrete Event Systems Using Active Acquisition of Information

Co-PI's Involved: Demosthenis Teneketzis,
Professor, Electrical Engineering & Computer Science, University of Michigan

Student: David Thorsley
Ph.D. Candidate (expected 2006), Electrical Engineering & Computer Science, University of Michigan

Project Description

Discrete-event systems (DES) can be used to model failures in a wide class of systems; for an overview on the use of DES models for fault detection, see [1]. It is typically assumed in DES diagnosis problems that sensors available to an observer are always active; however, in problems where events may be sensed by sending probes over parts of the network, it would be more practical to only sense these events when it is necessary to do so. In our approach, we demonstrate how to actively update the observation actions to find a policy that minimizes the cost of observing events while retaining the ability to diagnose failures. The figure below shows the structure of a diagnoser actively updating its observation policy; details of the method are discussed in [2].
Active Acquisition Block Diagram
Fig.1 : Block Diagram of a Diagnoser using Active Acquisition

References

1. S. Lafortune, D. Teneketzis, M. Sampath, R. Sengupta, and K. Sinnamohideen, "Failure diagnosis of dynamic systems: An approach based on discrete event systems," Proc. 2001 American Control Conference pp. 2058-2071, June 2001.

2. D. Thorsley and D. Teneketzis (2006), "Diagnosis of cyclic DES using active acquisition of information," in Proceedings of the 8th International Workshop on Discrete Event Systems, Ann Arbor, Michigan, USA, July 2006

3. D. Thorsley (Teneketzis advisor), "Applications of stochastic techniques to partially observed discrete event systems," PhD Thesis, Dept. EECS, Univ. of Michigan, May 2006