Diagnosis of Stochastic Discrete Event Systems Based on N-Gram Models with Wildcard Characters

Author:

HIRAISHI Kunihiko1,KOBAYASHI Koichi1

Affiliation:

1. School of Information Science, Japan Advanced Institute of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference21 articles.

1. [1] M. Yoshimoto and K. Hiraishi, Model-less Diagnosis of Discrete Event Systems Based on Sequence Analysis, ITC-CSCC2012, CD-ROM, C-W1-03, 2012.

2. [2] M. Yoshimoto, K. Kobayashi, and K. Hiraishi, “Diagnosis of stochastic discrete event systems based on N-gram models,” IEICE Trans. Fundamentals, vol.E98-A, no.2, pp.618-625, 2015.

3. [3] M. Sampath, R. Sengupta, S. Lafortune, K. Sinnamohideen, and D. Teneketzis, “Diagnosability of discrete-event systems,” IEEE Trans. Autom. Control, vol.40, no.9, pp.1555-1575, 1995.

4. [4] X. Wang, I. Chattopadhyay, and A. Ray, “Probabilistic fault diagnosis in discrete event systems,” 2004 43rd IEEE Conference on Decision and Control (CDC), vol.5, pp.4794-4799, 2004.

5. [5] D. Thorsley and D. Teneketzis, “Diagnosability of stochastic discrete-event systems,” IEEE Trans. Autom. Control, vol.50, no.4, pp.476-492, 2005.

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