Nonlinear Applications
Mohinder S. Grewal PhD, PE, Angus P. Andrews · 2002
Following the considerable success enjoyed by linear estimation methods on linear problems, extensions of the these methods were applied to nonlinear problems. In this chapter, we investigate the model extensions and approximation methods used for applying the methodology of Kalman filtering to these “slightly nonlinear” problems.