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Parameter Identification of Dynamic Systems using Hamiltonian Regressor
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 최영진 | - |
| dc.date.accessioned | 2025-04-09T01:03:03Z | - |
| dc.date.available | 2025-04-09T01:03:03Z | - |
| dc.date.issued | 2007-11-22 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/124147 | - |
| dc.description.abstract | Hamiltonian regressor is proposed by replacing Lagrangian dynamics representation with Hamiltonian one by using Legendre transformation in this paper. It has the advantage in that the suggested regressor does not require the acceleration measurement for identification of dynamic parameters. Also, the suggested identification method can be easily implemented as real-time fashion by using recursive least squares method. | - |
| dc.title | Parameter Identification of Dynamic Systems using Hamiltonian Regressor | - |
| dc.type | Conference | - |
| dc.citation.title | 4th International Conference on Ubiquitous Robots and Ambient Intelligence [URAI] | - |
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Related Researcher
- Choi, Youngjin
- ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)