Guaranteed state estimation computes the set of possible states of dynamical systems given
the bounds of model uncertainties, disturbances, and noises. For the first time, we evaluate …

This paper presents an improved approach for guaranteed state estimation combining set-
membership estimation techniques based on zonotopes and ellipsoids, applied on linear …

This paper presents new methods for set-valued state estimation of nonlinear discrete-time
systems with unknown-but-bounded uncertainties. A single time step involves propagating …

This note presents a new method for set-based joint state and parameter estimation of
discrete-time systems using constrained zonotopes. This is done by extending previous set …

This paper presents a setmembership state estimation scheme for linear systems with
unknown but bounded inputs and noise. The approach is to compute 100% con dence …

This paper proposes a novel set-valued state estimation algorithm for nonlinear discrete-
time systems with unknown-but-bounded disturbances. The problem is often addressed …

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 …

We propose a method to perform set-based state estimation of an unknown dynamical linear
system using a data-driven set propagation function. Our method comes with set …

This article considers moving horizon strategies for constrained linear state estimation.
Additional information for estimating state variables from output measurements is often …

This title focuses on two significant problems in the field of automatic control, in particular
state estimation and robust Model Predictive Control under input and state constraints …