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

This paper proposes a new set-membership technique to implement polytopic set
computation for nonlinear discrete-time systems indirectly. The proposed set-membership …

This paper presents a new approach to guaranteed state estimation for nonlinear discrete-
time systems with a bounded description of noise and parameters. The sets of states that are …

This paper presents an improved technique for guaranteed zonotopic state estimation of
Multi-Output discrete-time linear-time invariant systems subject to unknown but bounded …

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 …

This paper presents a new approach for guaranteed state estimation based on zonotopes
for linear discrete-time multivariable systems with interval multiplicative uncertainties, in the …

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 …

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 …