This paper presents new methods for set-valued state estimation of discrete-time nonlinear
systems whose trajectories are known to satisfy nonlinear equality constraints, called …

Reliable health monitoring of mechanical components in aerial robotic systems is crucial to
their safe operation. The highly constrained nature of aerial systems requires that such …

The problem of modeling and estimation for linear equality constrained (LEC) systems is
considered. The exact constrained dynamic model usually is not readily available or is too …

The fruit fly Drosophila melanogaster is a widely used model organism in studies of
genetics, developmental biology and biomechanics. One limitation for exploiting Drosophila …

This article addresses the state-estimation problem for linear and non-linear systems for the
case in which prior knowledge is available in the form of an equality constraint. The equality …

Data assimilation techniques, such as the Kalman filter (KF) and its extensions, update state
variables based on the KF type of algorithms, but state‐space models usually have relevant …

In this work, we develop a recursive filter to estimate orientation in 3D, represented by
quaternions, using directional distributions. Many closed-form orientation estimation …

This paper considers the state-estimation problem with a constraint on the data-injection
gain. Special cases of this problem include the enforcing of a linear equality constraint in the …

This paper addresses the state-estimation problem for nonlinear systems for the case in
which prior knowledge is available in the form of interval constraints on the states …

Due to physical laws or mathematical properties the states of some dynamic systems satisfy
certain constraints, and taking advantage of such constraints generally will produce more …