Guaranteed nonlinear parameter estimation with additive Gaussian noise

In this paper a set membership approach, named Interval Analysis Localization (IAL) algo- rithm, will be considered for the global localization problem and compared to a Monte

Key words: interval analysis, outliers, robotis, robust estimation, state.. estimation,

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Section 3 shows how interval analysis can be used to characterize the exact confidence regions provided by LSCR in a global and guaranteed way.. Examples are treated in Section 4,

This talk focuses on guaranteed state estimation by zonotopes [1], [2] applied to multivariable linear discrete-time systems in the presence of disturbances, noises and

The purpose of this paper is to present a new approach for the guaranteed estimation of the parameter and/or state vector of a nonlinear discrete-time model in a bounded-error

In this paper, we have presented a new interval-based algorithm which made it possible to characterize the minimal-volume credible sets of an unnormalized pdf, in a guaranteed way..

The presented interval technique for the identification of invariant sets can easily be generalized towards the computation of the region of attraction of asymptotically