TY - JOUR
T1 - Comparison of three fuzzy logic-based adaptive multisensor data fusion architectures
AU - Escamilla-Ambrosio, P. J.
AU - Mort, N.
N1 - Publisher Copyright:
Copyright © IFAC Mechatronic Systems, Sydney, Australia, 2004.
PY - 2004
Y1 - 2004
N2 - In this work the fault-tolerant performance of the recently developed fuzzy logic-based adaptive centralised, decentralised, and federated Kalman filters are compared when used for multisensor data fusion purposes. The adaptation is in the sense of adaptively tuning the measurement noise covariance matrix to fit the actual statistics of the noise profiles present in the incoming measured data. A fuzzy inference system based on a covariance-matching technique is used as the adaptation mechanism. The fault-tolerant performance of the three approaches is compared through result from several simulated tests.
AB - In this work the fault-tolerant performance of the recently developed fuzzy logic-based adaptive centralised, decentralised, and federated Kalman filters are compared when used for multisensor data fusion purposes. The adaptation is in the sense of adaptively tuning the measurement noise covariance matrix to fit the actual statistics of the noise profiles present in the incoming measured data. A fuzzy inference system based on a covariance-matching technique is used as the adaptation mechanism. The fault-tolerant performance of the three approaches is compared through result from several simulated tests.
KW - Adaptive Kalman filters
KW - Fuzzy inference systems
KW - Multisensor data fusion
UR - http://www.scopus.com/inward/record.url?scp=84930429264&partnerID=8YFLogxK
U2 - 10.1016/S1474-6670(17)31088-1
DO - 10.1016/S1474-6670(17)31088-1
M3 - Artículo de la conferencia
AN - SCOPUS:84930429264
SN - 1474-6670
VL - 37
SP - 103
EP - 108
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 14
T2 - 3rd IFAC Symposium on Mechatronic Systems 2004
Y2 - 6 September 2004 through 8 September 2004
ER -