Corpus ID: 231816163

Partial Extended Observability Certification and Optimal Design of Moving Horizon Estimators Under Uncertainties

@inproceedings{Alamir2020PartialEO,
title={Partial Extended Observability Certification and Optimal Design of Moving Horizon Estimators Under Uncertainties},
author={M. Alamir},
year={2020}
}
• M. Alamir
• Published 2020
• Engineering, Computer Science
This paper addresses the observability analysis and the optimal design of observation parameters in the presence of noisy measurements and parametric uncertainties. The main underlying frameworks are the nonlinear constrained moving horizon estimator design and the probabilistic certification via randomized optimization. As the perfect observability concept is not relevant under the considered uncertain and noisy context, the notion of almost $\epsilon$-observability is introduced and a… Expand