Prescribed-Time Observer Is Naturally Robust Against Disturbances and Uncertainties
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866910212510711808 |
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| author | Abdelhadi, Abedou Omar, Mameche |
| author_facet | Abdelhadi, Abedou Omar, Mameche |
| contents | This paper addresses the robustness of a prescribed-time observer for a class of nonlinear systems in the presence of disturbances and unmodeled dynamics. It is proven and demonstrated through simulations that the proposed observer completely rejects the effects of arbitrarily large bounded disturbances and unmodeled dynamics, enabling accurate estimation of both the states and the disturbances. Furthermore, a comparison with the standard high-gain observer is provided to highlight the superiority of the prescribed-time observer in reducing the peaking phenomenon and improving estimation accuracy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_16836 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Prescribed-Time Observer Is Naturally Robust Against Disturbances and Uncertainties Abdelhadi, Abedou Omar, Mameche Systems and Control This paper addresses the robustness of a prescribed-time observer for a class of nonlinear systems in the presence of disturbances and unmodeled dynamics. It is proven and demonstrated through simulations that the proposed observer completely rejects the effects of arbitrarily large bounded disturbances and unmodeled dynamics, enabling accurate estimation of both the states and the disturbances. Furthermore, a comparison with the standard high-gain observer is provided to highlight the superiority of the prescribed-time observer in reducing the peaking phenomenon and improving estimation accuracy. |
| title | Prescribed-Time Observer Is Naturally Robust Against Disturbances and Uncertainties |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2509.16836 |