In many areas of science and engineering, we have a class (“population”) of objects, and we
are interested in the values of one or several quantities characterizing objects from this …

Measurements are never absolutely accurate, the measurement result x̃ is, in general,
different from the actual (unknown) values x of the corresponding quantity. In many practical …

Motivation. Data uncertainty affects the results of data processing. So, it is necessary to find
out how the data uncertainty propagates into the uncertainty of the results of data …

This paper proposes a new approach to characterize fuzzy sets defined by membership
functions using interval analysis. The goal is to combine pieces of information (the granules) …

The oceans' exploration becomes more and more reachable, especially thanks to robotics
progress. Applications for underwater robots are plentiful. In this thesis, we particularly focus …

In this paper we propose a new approach for nonlinear parameter estimation under additive
Gaussian noise. We provide an algorithm based on interval analysis and set inversion which …