This paper deals with fault detection for nonlinear continuous-time systems. A procedure
based on interval analysis is proposed to build a guaranteed qLPV (quasi-Linear Parameter …

We address nonlinear reachability computation for uncertain monotone systems, those for
which flows preserve a suitable partial orderings on initial conditions. In a previous work …

This paper is about guaranteed parameter estimation in two contexts, namely bounded‐
error and optimal estimation. In bounded‐error estimation, one looks for the set of all …

This work describes a new methodology for robust identification (RI), meaning the
identification of the parameters of a model and the characterization of uncertainties. The …

This paper is about parameter estimation for models described by a continuous-time state
equation from discrete-time measurements. Guaranteed solutions to this problem are …

This paper presents the non-linear modelling, based on first principle equations, for a
climatic model of a greenhouse and the estimation of the feasible parameter set (FPS) when …

In this study, an extended activated sludge model was established to describe the
transformation of nitrite [Formula: see text], nitrate ([Formula: see text] and other components …

Knowledge-based models are ubiquitous in pure and applied sciences. They often involve
unknown parameters to be estimated from experimental data. This is usually much more …

The minimal model of glucose‐insulin dynamics is currently being used in several diabetes‐
related applications, such as investigating the glucose metabolism, and in the developments …

[ES] Al proceso de identificación de los parámetros de un modelo nominal y su
incertidumbre para su utilización en Control Robusto se le conoce como Identificación …