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Autori principali: Xu, Chi, Wang, Zhenhua, Meslem, Nacim, Raissi, Tarek, Chitour, Yacine
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2509.16000
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author Xu, Chi
Wang, Zhenhua
Meslem, Nacim
Raissi, Tarek
Chitour, Yacine
author_facet Xu, Chi
Wang, Zhenhua
Meslem, Nacim
Raissi, Tarek
Chitour, Yacine
contents This paper introduces an interval state estimation method for discrete-time bounded Jacobian nonlinear systems allying Luenberger-like observer with zonotope set computation. First, a robust observer is designed to obtain bounded-error and point-estimation with a peak-to-peak performance. This allows one to cope with the unknown but bounded process disturbance and measurement noise. Then, based on the stable dynamics of the observation error, tight interval estimation is obtained by applying zonotope set computation and analysis. To sum up, a comprehensive interval estimation algorithm is proposed by integrating the robust (in the sense of peak-to-peak performance index) point-valued estimate with the feasible zonotope set of the estimation error. Numerical simulation tests are conducted to assess the effectiveness of the proposed approach.
format Preprint
id arxiv_https___arxiv_org_abs_2509_16000
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interval Estimation for Bounded Jacobian Nonlinear Systems by Zonotope Analysis
Xu, Chi
Wang, Zhenhua
Meslem, Nacim
Raissi, Tarek
Chitour, Yacine
Dynamical Systems
This paper introduces an interval state estimation method for discrete-time bounded Jacobian nonlinear systems allying Luenberger-like observer with zonotope set computation. First, a robust observer is designed to obtain bounded-error and point-estimation with a peak-to-peak performance. This allows one to cope with the unknown but bounded process disturbance and measurement noise. Then, based on the stable dynamics of the observation error, tight interval estimation is obtained by applying zonotope set computation and analysis. To sum up, a comprehensive interval estimation algorithm is proposed by integrating the robust (in the sense of peak-to-peak performance index) point-valued estimate with the feasible zonotope set of the estimation error. Numerical simulation tests are conducted to assess the effectiveness of the proposed approach.
title Interval Estimation for Bounded Jacobian Nonlinear Systems by Zonotope Analysis
topic Dynamical Systems
url https://arxiv.org/abs/2509.16000