Title :
Fault tolerant algorithm for multisensor systems
Author :
Hanguo, Zhang ; Hongyue, Zhang
Author_Institution :
Dept. of Automatic Control, Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
In this paper, a simple algorithm using a decentralized filtering technique to estimate system states is given. The proposed algorithm can avoid the computational burden occuring in the standard Kalman filtering algorithm, and can be used to generate optimal estimates of failed sensor outputs in multisensor systems. Simulation results show that the proposed algorithm is effective
Keywords :
State estimation; control system synthesis; decentralised control; detectors; digital control; fault tolerant computing; filtering and prediction theory; optimal control; state estimation; algorithm; control system synthesis; decentralized filtering technique; digital control; dynamic systems; failed sensor outputs; fault tolerant computing; multisensor systems; optimal control; state estimation; Covariance matrix; Equations; Fault tolerant systems; Filtering algorithms; Kalman filters; Multisensor systems; Noise measurement; Sensor systems; State estimation; White noise;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279596
