Multiple Model Methods in Path Following

Path following is difficult when the observation rate is low. Multiple model estimators incorporating multisensor fusion have proven useful in this application. This paper shows the advantage of a recently developed multiple model algorithm. Performance comparisons with some current algorithms are presented.