Event-triggered control of nonlinear systems from data
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917116486090752 |
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| author | Chen, Hailong De Persis, Claudio Bisoffi, Andrea Tesi, Pietro |
| author_facet | Chen, Hailong De Persis, Claudio Bisoffi, Andrea Tesi, Pietro |
| contents | In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a class of nonlinear systems. We provide two data-based designs certified by a (classical) Lyapunov function. For these two designs, we devise event-triggered policies that rely on the previously found Lyapunov function, have parameters tuned from data, ensure a positive minimum inter-event time, and act based either on the state error or on the library error. These two different policies, and their respective advantages, are illustrated numerically. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_01938 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Event-triggered control of nonlinear systems from data Chen, Hailong De Persis, Claudio Bisoffi, Andrea Tesi, Pietro Systems and Control Optimization and Control In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a class of nonlinear systems. We provide two data-based designs certified by a (classical) Lyapunov function. For these two designs, we devise event-triggered policies that rely on the previously found Lyapunov function, have parameters tuned from data, ensure a positive minimum inter-event time, and act based either on the state error or on the library error. These two different policies, and their respective advantages, are illustrated numerically. |
| title | Event-triggered control of nonlinear systems from data |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2512.01938 |