NASA NTRS · 19840035837
A bias identification and state estimation methodology for nonlinear systems
Abstract
A 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.
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Caglayan, A. K., Lancraft, R. E.. 1983-01-01. A bias identification and state estimation methodology for nonlinear systems. https://ntrs.nasa.gov/citations/19840035837
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