Data-driven control of nonlinear systems from input-output data
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866911856019374080 |
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| author | Dai, Xiaoyan De Persis, Claudio Monshizadeh, Nima Tesi, Pietro |
| author_facet | Dai, Xiaoyan De Persis, Claudio Monshizadeh, Nima Tesi, Pietro |
| contents | The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers from data via approximate nonlinearity cancellation," IEEE Transactions on Automatic Control, 2023, a method to learn controllers that make the closed-loop system stable and dominantly linear was proposed. The approach leads to a simple solution based on data-dependent semidefinite programs. The method uses input-state measurements as data, while in a realistic setup it is more likely that only input-output measurements are available. In this note we report how the design principle of the above mentioned paper can be adjusted to deal with input-output data and obtain dynamic output feedback controllers in a favourable setting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_09208 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Data-driven control of nonlinear systems from input-output data Dai, Xiaoyan De Persis, Claudio Monshizadeh, Nima Tesi, Pietro Systems and Control Optimization and Control The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers from data via approximate nonlinearity cancellation," IEEE Transactions on Automatic Control, 2023, a method to learn controllers that make the closed-loop system stable and dominantly linear was proposed. The approach leads to a simple solution based on data-dependent semidefinite programs. The method uses input-state measurements as data, while in a realistic setup it is more likely that only input-output measurements are available. In this note we report how the design principle of the above mentioned paper can be adjusted to deal with input-output data and obtain dynamic output feedback controllers in a favourable setting. |
| title | Data-driven control of nonlinear systems from input-output data |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2309.09208 |