Before using interval analysis as a basic tool in the following chapters, we shall now
introduce its main concepts. Section 2.2 recalls fundamental notions on set operators, set …

The goal of continual learning is to find a model that solves multiple learning tasks which are
presented sequentially to the learner. A key challenge in this setting is that the learner may" …

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 …

The problem considered here is state estimation in the presence of unknown but bounded
state perturbations and measurement noise. In this context, most available results are for …

This paper deals with the determination of the position and orientation of a mobile robot from
distance measurements provided by a belt of onboard ultrasonic sensors. The environment …

This paper presents the practical implementation of a new robust interval observer on a 1m3
continuous fixed bed anaerobic reactor used for the treatment of industrial wine distillery …

Bounded-error estimation is the estimation of the parameter or state vector of a model from
experimental data, under the assumption that some suitably defined errors should belong to …

Automated fault detection (FD) methods are essential for safe and profitable operation of
complex engineered systems. Both data-driven and model-based methods have been …

For a class of dynamical systems, with uncertain non-linear terms considered as unknown
inputs, we give suffcient conditions for observability. We show also that there does not exist …

A new approach to nonlinear state estimation based on belief-function theory and interval
analysis is presented. This method uses belief structures composed of a finite number of …