Erratum: Active acquisition of information for diagnosis and supervisory control of discrete event systems (Discrete Event Dynamic Systems: Theory and Applications DOI: 10.1007/s10626-007-0027-y);Active acquisition of information for diagnosis and supervisory control of discrete event systems

Discrete Event Dynamic Systems: Theory and Applications

Volumn 17, Issue 4, 2007, Pages 531-583

  Thorsley, David ^a   Teneketzis, Demosthenis ^b  

^a University of Washington   (United States)

^b Department of Ecology and Evolutionary Biology   (United States)

Author keywords

Failure diagnosis; Measurement scheduling; Sensor optimization; Supervisory control

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DYNAMIC PROGRAMMING; PROBLEM SOLVING; SCADA SYSTEMS; SENSORS; STOCHASTIC CONTROL SYSTEMS;

ACTIVE ACQUISITION; COMPUTATIONAL SAVINGS; CYCLIC AUTOMATA; OPTIMAL POLICY;

DISCRETE EVENT SIMULATION;

EID: 35948950292     PISSN: 09246703     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10626-007-0030-3     Document Type: Erratum

References (31)

1. Andersland MS, Teneketzis D (1992) Information structures, causality, and non-sequential stochastic control, I: design-independent properties. SIAM J Contr Optim 30(6):1447-1475
2. Andersland MS, Teneketzis D (1994) Information structures, causality, and non-sequential stochastic control, II: design-dependent properties. SIAM J Contr Optim 32(6):1726-1751
3. Andersland MS, Teneketzis D (1996) Measurement scheduling for recursive team estimation. J Optim Theory Appl 89(3):615-636
4. Appadwedula S, Veeravalli VV, Jones DL (2002) Robust and locally-optimum decentralized detection with censoring sensors. In: Proceedings of the 5th international conference on information fusion. Annapolis, MD, USA
5. Athans M (1972) On the determination of optimal costly measurement strategies for linear stochastic systems. Automatica 8:397-412
6. Cassandras CG, Lafortune S (1999) Introduction to discrete event systems. Kluwer Academic Publishers, Boston, MA
7. Debouk R, Lafortune S, Teneketzis D (2002) On an optimization problem in sensor selection. J Discret Event Dyn Syst: Theory and Appl 12:417-445
8. Ding X, Puterman ML, Bisi A (2002) The censored newsvendor and the optimal acquisition of information. Oper Res 50:517-527
9. Holloway L, Chand S (1994) Time templates for discrete event fault monitoring in manufacturing systems. In: Proceedings of the 1994 American control conference, pp 701-706
10. Jiang S, Kumar R, Garcia HE (2003) Optimal sensor selection for discrete-event systems with partial observation. IEEE Trans Syst Man Cybern Part B 30(5):653-660
11. Jiang S, Huang Z, Chandra V, Kumar R (2001) A polynomial algorithm for testing diagnosability of discrete-event systems. IEEE Trans Automat Contr 46(8):1318-1320
12. Khanna M (1973) Sampling and transmission policies for controlled Markov processes with costly communication. Ph.D. thesis, Department of Electrical Engineering, University of Toronto
13. Kumar PR, Varaiya P (1986) Stochastic systems: estimation, identification, and adaptive control. Prentice Hall, Englewood Cliffs, NJ
14. Kushner HJ (1964) On the optimum timing of observations for linear control systems with unknown initial state. IEEE Trans Automat Contr 9(2):144-150
15. Kushner HJ (1971) Introduction to stochastic control. Holt, Rinehart, Winston
16. Lafortune S, Teneketzis D, Sampath M, Sengupta R, Sinnamohideen K (2001) Failure diagnosis of dynamic systems: an approach based on discrete event systems. In: Proceedings of the 2001 American control conference, pp 2058-2071
17. Lunze J, Schröder J (2001) State observation and diagnosis of discrete-event systems described by stochastic automata. Discret Event Dyn Syst: Theory Appl 11(4):319-369
18. Meier III L, Peschon J, Dressler RM (1967) Optimal control of measurement subsystems. IEEE Trans Automat Contr 12(5):528-536
19. Pencolé Y (2000) Decentralized diagnoser approach: application to telecommunication networks. In: Proceedings of the 11th international workshop on principles of diagnosis (DX'00), pp 185-192
20. Pollard D (2002) A user's guide to measure theoretic probability. Cambridge Univ. Press
21. Rago C, Willett P, Bar-Shalom Y (1996) Censoring sensors: a low-communication-rate scheme for distributed detection. IEEE Trans Aerosp Electron Sys 32(2):554-568
22. Rozé L, Cordier M-O (1998) Diagnosing discrete-event systems: an experiment in telecommunication networks. In: Proceedings of the 1998 international workshop on discrete event systems (WODES '98). Published by IEE, London, England. pp 130-137
23. Sampath M, Sengupta R, Lafortune S, Sinnamohideen K, Teneketzis D (1995) Diagnosability of discrete-event systems. IEEE Trans Automat Contr 40(9):1555-1575
24. Teneketzis D (1996) On information structures and nonsequential stochastic control. CWI Quarterly 9(3):241-260 (special issue on Systems and Control)
25. Teneketzis D, Andersland MS (2000) On partial order characterizations of information structures. Math Contr Signals Syst 13:277-292
26. Thorsley D, Teneketzis D (2005) Diagnosability of stochastic discrete-event systems. IEEE Trans Automat Contr 50(4):476-492
27. Witsenhausen HS (1971) On information structures, feedback and causality. SIAM J Contr 9(2):149-160
28. Witsenhausen HS (1975) The intrinsic model for discrete stochastic control: some open problems. In: Lecture notes in economics and mathematical systems, vol. 107. Springer, Berlin, pp 322-335
29. Yoo T-S, Garcia HE (2003) Computation of fault detection delay in discrete-event systems. In: Proceedings of the 14th international workshop on the principles of diagnosis (DX-03)
30. Yoo T-S, Lafortune S (2002a) NP-completeness of sensor selection problems arising in partially observed discrete-event systems. IEEE Trans Automat Contr 47(9):1495-1499
31. Yoo T-S, Lafortune S (2002b) Polynomial-time verification of diagnosability of partially observed discrete-event systems. IEEE Trans Automat Contr 47(9):1491-1495