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 …

The discrete Fourier transform (DFT) is often used to decompose a signal into a finite
number of harmonic components. The efficient and rigorous propagation of the error present …

Uncertainty modeling and bounding are of vital importance for high-integrity GNSS
applications. Classical approaches are mostly developed in a stochastic manner with …

We consider linear regression models where both input data (the observations of
independent variables) and output data (the observations of the dependent variable) are …

A realistic assessment of the total uncertainty budget of Global Positioning System (GPS)
observations and its adequate mathematical treatment is a basic requirement for all analysis …

In this paper, we propose a new approach to compute the projection of a set defined by
polynomial equations. It assumes that the polynomial equations have some nice symmetries …

This paper proposes an interval method to explore the relationship between the exchange
rate of Australian dollar against US dollar and the gold price, using weekly, monthly and …

Integrity monitoring is of great importance for Global Navigation Satellite Systems (GNSS)
applications. Unlike classical approaches based on probabilistic assumptions, the …

This paper proposes a methodology for guaranteed state estimation of linear discrete-time
systems in the presence of bounded disturbances and noises. This aims at computing an …

Reliable confidence domains for Global Navigation Satellite System (GNSS) positioning and
inconsistency measures of the observations are of great importance for any navigation …