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| Main Author: | |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.13848 |
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| _version_ | 1866908837140758528 |
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| author | Possieri, Corrado |
| author_facet | Possieri, Corrado |
| contents | This letter presents a data-driven framework for the design of stabilizing controllers from input-output data in the continuous-time, linear, and time-invariant domain. Rather than relying on measurements or reliable estimates of input and output time derivatives, the proposed approach uses filters to derive a parameterization of the system dynamics. This parameterization is amenable to the application of linear matrix inequalities enabling the design of stabilizing output feedback controllers from input-output data and the knowledge of the order of the system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_13848 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Derivative free data-driven stabilization of continuous-time linear systems from input-output data Possieri, Corrado Optimization and Control Dynamical Systems This letter presents a data-driven framework for the design of stabilizing controllers from input-output data in the continuous-time, linear, and time-invariant domain. Rather than relying on measurements or reliable estimates of input and output time derivatives, the proposed approach uses filters to derive a parameterization of the system dynamics. This parameterization is amenable to the application of linear matrix inequalities enabling the design of stabilizing output feedback controllers from input-output data and the knowledge of the order of the system. |
| title | Derivative free data-driven stabilization of continuous-time linear systems from input-output data |
| topic | Optimization and Control Dynamical Systems |
| url | https://arxiv.org/abs/2601.13848 |