Observer design for classes of nonlinear port-Hamiltonian systems

Fuente: arXiv
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Auteurs principaux: Ugolini, Filippo, Liu, Ning, Wu, Yongxin, Gorrec, Yann Le, Macchelli, Alessandro
Format: Preprint
Publié: 2026
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author Ugolini, Filippo
Liu, Ning
Wu, Yongxin
Gorrec, Yann Le
Macchelli, Alessandro
author_facet Ugolini, Filippo
Liu, Ning
Wu, Yongxin
Gorrec, Yann Le
Macchelli, Alessandro
contents This paper presents a systematic observer design methodology for a class of port-Hamiltonian (pH) systems with state-dependent input matrices. Such systems can model a wide range of electromechanical systems, including magnetic levitation systems, MEMS devices, and electro-active polymer actuators such as DEA actuators, HASEL actuators, etc. In these applications, state-dependent input matrices naturally arise when the system is modeled under quasi-static electrical assumptions. An LPV polytopic embedding framework, together with LMI-based synthesis conditions, is proposed. The nonlinear error dynamics are represented as a convex combination of linear vertex systems using an integral mean value representation, which enables systematic computation of the observer gains that ensures exponential convergence. Both constant-gain and gain-scheduled observers are derived. Numerical results demonstrate the effectiveness of the proposed observer, with the gain-scheduled design achieving a significant increase in the maximum certifiable decay rate compared with constant-gain approaches, thereby reducing conservatism.
format Preprint
id arxiv_https___arxiv_org_abs_2604_03151
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Observer design for classes of nonlinear port-Hamiltonian systems
Ugolini, Filippo
Liu, Ning
Wu, Yongxin
Gorrec, Yann Le
Macchelli, Alessandro
Optimization and Control
This paper presents a systematic observer design methodology for a class of port-Hamiltonian (pH) systems with state-dependent input matrices. Such systems can model a wide range of electromechanical systems, including magnetic levitation systems, MEMS devices, and electro-active polymer actuators such as DEA actuators, HASEL actuators, etc. In these applications, state-dependent input matrices naturally arise when the system is modeled under quasi-static electrical assumptions. An LPV polytopic embedding framework, together with LMI-based synthesis conditions, is proposed. The nonlinear error dynamics are represented as a convex combination of linear vertex systems using an integral mean value representation, which enables systematic computation of the observer gains that ensures exponential convergence. Both constant-gain and gain-scheduled observers are derived. Numerical results demonstrate the effectiveness of the proposed observer, with the gain-scheduled design achieving a significant increase in the maximum certifiable decay rate compared with constant-gain approaches, thereby reducing conservatism.
title Observer design for classes of nonlinear port-Hamiltonian systems
topic Optimization and Control
url https://arxiv.org/abs/2604.03151