In this paper, a distributed set-membership estimator for linear full-coupled systems affected
by bounded disturbances is presented. The estimator uses a multi-hop staircase …

One of the main challenges in developing autonomous transport systems based on
connected and automated vehicles is the comprehension and understanding of the …

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 …

In this paper, we focus on the distributed set-membership filtering (SMFing) problem for a
multi-agent system with absolute (taken from agents themselves) and relative (taken from …

The set-based estimation has gained a lot of attention due to its ability to guarantee state
enclosures for safety-critical systems. However, collecting measurements from distributed …

This paper proposes a data-driven set-based es-timation algorithm for a class of nonlinear
systems with polynomial nonlinearities. Using the system's input-output data, the proposed …

This manuscript proposes a novel approach for the distributed set-membership estimation of
linear time-invariant plants. The method is based on sequentially exploiting the information …

3D map-aided GNSS localization provides state-of-the-art urban positioning by exploiting
3D building maps to account for reduced satellite visibility. Shadow matching is at the core of …

The privacy aspect of state estimation algorithms has been drawing high research attention
due to the necessity for a trustworthy private environment in cyber-physical systems. These …

In this article, we suggest a technique of set-based cooperative navigation for a fleet of
vehicles under communication constraints. In the suggested approach, only the distances …