Bradley Ebinger

Constrained state estimation in particle filters

Dynamical systems are often required to satisfy certain constraints arising from basic physical laws, mathematical properties or geometric considerations. Incorporating constraints improves the performance of state estimation and increases the accuracy compared to unconstrained estimation.