Algorithm based fault tolerance is studied for use with linear estimation algorithms such as the Kalman filter. Emphasis is placed on the study of algorithm based fault tolerance used in conjunction with the UDUT covariance calculation. A real-time simulation has been performed in a VMEbus environment utilizing a single board computer and a commercial real-time operating system.

Issue Section:
Technical Briefs
Topics:
Algorithms, Errors, Fault tolerance, Transients (Dynamics), Computers, Kalman filters, Simulation
1.
Anfinson, C. J., and Luke, F. T., 1988, “A Linear Algebraic Model of Algorithm-Based Fault-Tolerance,” Proc. of the 1988 Int. Conf. on Systolic Arrays, May, pp. 483–493.
2.
Bierman, G. J., 1977, Factorization Methods for Discrete Sequential Estimation, Academic Press, New York.
3.
Huang
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Abraham
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Algorithm-Based Fault Tolerance for Matrix Operations
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4.
Thornton, C. L., and Bierman, G. J., 1980, “UDUT Covariance Factorization for Kalman Filtering,” Control and Dynamic Systems, Vol. 16, Leodnes, C. T., ed., Academic Press, New York, pp. 177–248.
5.
Young
G. E.
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Moan
M.
, and
Misawa
E.
,
1993
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Topics Related to Fault Tolerance and Reliability of Control Algorithms Operating in Multi-tasking, Hard Deadline Real-Time Environments
,”
ASME Symposium on Mechatronics
, DSC-Vol.
50
, pp.
171
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181
.
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