Adaptive Reconstruction of Nonlinear Systems States via DREM with Perturbation Annihilation
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914721565769728 |
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| author | Glushchenko, Anton Lastochkin, Konstantin |
| author_facet | Glushchenko, Anton Lastochkin, Konstantin |
| contents | A new adaptive observer is proposed for a certain class of nonlinear systems with bounded unknown input and parametric uncertainty. Unlike most existing solutions, the proposed approach ensures asymptotic convergence of the unknown parameters, state and perturbation estimates to an arbitrarily small neighborhood of the equilibrium point. The solution is based on the novel augmentation of a high-gain observer with the dynamic regressor extension and mixing (DREM) procedure enhanced with a perturbation annihilation algorithm. The aforementioned properties of the proposed solution are verified via numerical experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_13664 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adaptive Reconstruction of Nonlinear Systems States via DREM with Perturbation Annihilation Glushchenko, Anton Lastochkin, Konstantin Systems and Control A new adaptive observer is proposed for a certain class of nonlinear systems with bounded unknown input and parametric uncertainty. Unlike most existing solutions, the proposed approach ensures asymptotic convergence of the unknown parameters, state and perturbation estimates to an arbitrarily small neighborhood of the equilibrium point. The solution is based on the novel augmentation of a high-gain observer with the dynamic regressor extension and mixing (DREM) procedure enhanced with a perturbation annihilation algorithm. The aforementioned properties of the proposed solution are verified via numerical experiments. |
| title | Adaptive Reconstruction of Nonlinear Systems States via DREM with Perturbation Annihilation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2403.13664 |