Synthesis of Dissipative Systems Using Input-State Data

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Nguyen, Encho T., van Waarde, Henk J.
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866915129411502080
author Nguyen, Encho T.
van Waarde, Henk J.
author_facet Nguyen, Encho T.
van Waarde, Henk J.
contents This paper deals with the data-driven synthesis of dissipative linear systems in discrete time. We collect finitely many noisy data samples with which we synthesise a controller that makes all systems that explain the data dissipative with respect to a given quadratic supply rate. By adopting the informativity approach, we introduce the notion of informativity for closed-loop dissipativity. Under certain assumptions on the noise and the system, with the help of tools for quadratic matrix inequalities, we provide necessary and sufficient conditions for informativity for closed-loop dissipativity. We also provide a recipe to design suitable controllers by means of data-based linear matrix inequalities. This main result comprises two parts, to account for both the cases that the output matrices are known or unknown. Lastly, we illustrate our findings with an example, for which we want to design a data-driven controller achieving (strict) passivity.
format Preprint
id arxiv_https___arxiv_org_abs_2501_18330
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Synthesis of Dissipative Systems Using Input-State Data
Nguyen, Encho T.
van Waarde, Henk J.
Optimization and Control
This paper deals with the data-driven synthesis of dissipative linear systems in discrete time. We collect finitely many noisy data samples with which we synthesise a controller that makes all systems that explain the data dissipative with respect to a given quadratic supply rate. By adopting the informativity approach, we introduce the notion of informativity for closed-loop dissipativity. Under certain assumptions on the noise and the system, with the help of tools for quadratic matrix inequalities, we provide necessary and sufficient conditions for informativity for closed-loop dissipativity. We also provide a recipe to design suitable controllers by means of data-based linear matrix inequalities. This main result comprises two parts, to account for both the cases that the output matrices are known or unknown. Lastly, we illustrate our findings with an example, for which we want to design a data-driven controller achieving (strict) passivity.
title Synthesis of Dissipative Systems Using Input-State Data
topic Optimization and Control
url https://arxiv.org/abs/2501.18330