INCREMENTAL NONLINEAR PARAMETER ESTIMATION IN DYNAMIC SYSTEMS

A Bayes-theorem-based interpretation of the Kalman filter is used to define the best choice of parameters in a nonlinear-in-parameters model, which is dynamic and linear in input and state.