Time-Invariant Polytopic and Interval Observers for Uncertain Linear Systems via Non-Square Transformation

Fuente: arXiv
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Main Authors: Zhu, Feiya, Pati, Tarun, Yong, Sze Zheng
Format: Preprint
Published: 2025
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author Zhu, Feiya
Pati, Tarun
Yong, Sze Zheng
author_facet Zhu, Feiya
Pati, Tarun
Yong, Sze Zheng
contents This paper presents novel polytopic and interval observer designs for uncertain linear continuous-time (CT) and discrete-time (DT) systems subjected to bounded disturbances and noise. Our approach guarantees enclosure of the true state and input-to-state stability (ISS) of the polytopic and interval set estimates. Notably, our approach applies to all detectable systems that are stabilized by any optimal observer design, utilizing a potentially non-square (lifted) time-invariant coordinate transformation based on polyhedral Lyapunov functions and mixed-monotone embedding systems that do not impose any positivity constraints, enabling feasible and optimal observer designs, even in cases where previous methods fail. The effectiveness of our approach is demonstrated through several examples of uncertain linear CT and DT systems.
format Preprint
id arxiv_https___arxiv_org_abs_2512_03160
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Time-Invariant Polytopic and Interval Observers for Uncertain Linear Systems via Non-Square Transformation
Zhu, Feiya
Pati, Tarun
Yong, Sze Zheng
Systems and Control
This paper presents novel polytopic and interval observer designs for uncertain linear continuous-time (CT) and discrete-time (DT) systems subjected to bounded disturbances and noise. Our approach guarantees enclosure of the true state and input-to-state stability (ISS) of the polytopic and interval set estimates. Notably, our approach applies to all detectable systems that are stabilized by any optimal observer design, utilizing a potentially non-square (lifted) time-invariant coordinate transformation based on polyhedral Lyapunov functions and mixed-monotone embedding systems that do not impose any positivity constraints, enabling feasible and optimal observer designs, even in cases where previous methods fail. The effectiveness of our approach is demonstrated through several examples of uncertain linear CT and DT systems.
title Time-Invariant Polytopic and Interval Observers for Uncertain Linear Systems via Non-Square Transformation
topic Systems and Control
url https://arxiv.org/abs/2512.03160