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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jaewon Seo Myeong-Jong Yu Chan Gook Park Jang Gyu Lee |
| Copyright Year | 2005 |
| Description | Author affiliation: Member, IEEE, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea (e-mail: jwseol@wsnu.ac.kr). (Jaewon Seo) |
| Abstract | In this paper, a robust filter is proposed to effectively estimate the system states in the case where system model uncertainties as well as disturbances are present. The proposed robust filter is constructed based on the linear approximation methods for a general nonlinear uncertain system with an integral quadratic constraint. We also derive the important characteristic of the proposed filter, a modified H∞ performance index. Analysis results show that the proposed filter has robustness against disturbances such as process and measurement noises, and against parameter uncertainties. Simulation results show that the proposed filter effectively improves the performance. |
| Starting Page | 1935 |
| Ending Page | 1940 |
| File Size | 3065428 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395670 |
| DOI | 10.1109/CDC.2005.1582443 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | IEEE/EUCA |
| Subject Keyword | H infinity control Uncertain systems Noise robustness State estimation Uncertainty Estimation error Nonlinear systems Nonlinear filters Linear approximation Hydrogen robust estimation extended robust H filter nonlinear estimation nonlinear uncertain system |
| Content Type | Text |
| Resource Type | Article |
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