A bias identification and state estimation methodology for nonlinear systemsA computational algorithm for the identification of input and output biases in discrete-time nonlinear stochastic systems is derived by extending the separate bias estimation results for linear systems to the extended Kalman filter formulation. The merits of the approach are illustrated by identifying instrument biases using a terminal configured vehicle simulation.
Document ID
19840035837
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Caglayan, A. K. (Bolt, Beranek, and Newman, Inc. Cambridge, MA, United States)
Lancraft, R. E. (Bolt Beranek and Newman, Inc. Cambridge, MA, United States)