By Topic

Diagnosability of stochastic automata

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Thorsley, D. ; Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA ; Teneketzis, D.

A methodology for diagnosability of finite-state stochastic automata is established in this paper. Two notions of diagnosability for stochastic automata are defined, and a stochastic analogue of the logical diagnoser is constructed. The stochastic diagnoser is used to (i) specify off-line conditions sufficient to guarantee these notions of diagnosability; and (ii) determine how to perform on-line diagnosis of failure events.

Published in:

Decision and Control, 2003. Proceedings. 42nd IEEE Conference on  (Volume:6 )

Date of Conference:

9-12 Dec. 2003