Title :
A Design Method for Failure-Proof Systems
Author_Institution :
California State Polytechnic University, Pomona, 3801 West Temple Avenue, Pomona, CA 91768
Abstract :
A method for the failure detection, estimation, distinction and compensation of a linear discrete system is analyzed and discussed. The method is based on the application of Kalman filtering, multiple hypothesis testing and recursive estimation to build a failure-proof system.
Keywords :
Covariance matrix; Design methodology; Equations; Failure analysis; Kalman filters; Recursive estimation; Sensor phenomena and characterization; Sensor systems; State estimation; White noise;
Conference_Titel :
American Control Conference, 1983
Conference_Location :
San Francisco, CA, USA
